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iqm

iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.

Licence

iqm has a 2-clause BSD license. See file LICENSE for the complete license text.

Directory structure

iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:

/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements

iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.

Setup

After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into

home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.

Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.

Citation

Please cite the following paper if you use this software.

Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
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iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
About
inverted-quantized k-means
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
About
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
About
inverted-quantized k-means
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
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0 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
About
inverted-quantized k-means
Resources
Readme
License
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
About
inverted-quantized k-means
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1 watching
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0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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BranchesTags
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iqm
iqm stands for inverted-quantized k-means (IQ-means) and implements a method for fast approximate clustering.
Licence
iqm has a 2-clause BSD license. See file LICENSE for the complete license text.
Directory structure
iqm constists primarily of Matlab .m files, but also includes a number of .cpp files which are compiled as mex files to interface Matlab. The directory structure is:
/anim animation of algorithm iterations on 2D example
/config project configuration, including datasets, paths etc.
/disp text/graphical display
/lib generic utilities library
/quant full set of learning, encoding, inversion and search methods
/sub underlying code handling subspaces
/test main test entry points
/util specific utilities for this application

Requirements
iqm requires Matlab, an appropriate C++ compiler to compile mex files (e.g. gcc), yael library, and xio library.
Setup
After installing yael, choose a location on disk, say home, where to store datasets and output. Make one subfolder for each dataset with the name of the dataset, say sift, and copy the raw dataset files in a subfolder named raw. For instance, download the SIFT1M dataset and unzip its contents into
home/sift/raw/

iqm uses the specific filenames and file formats as given in the link above. A number of additional folders for output will be created automatically under home/sift/.
Finally, edit /config/local.m and adjust the location of home and yael to your local settings. Now you can try any of the samples under /test/. The mex files should compile automatically.
Citation
Please cite the following paper if you use this software.
Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos, and I. Z. Emiris. Web-scale image clustering revisited. In Proceedings of International Conference on Computer Vision (ICCV 2015), Santiago, Chile, December 2015.
About
inverted-quantized k-means
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License
Activity
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