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K-nearest neighbor algorithm
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#	Item
251	Individualized computer-aided education in mammography based on user modeling: Concept and preliminary experiments Maciej A. Mazurowskia兲 and Jay A. Baker Department of Radiology, Carl E. Ravin Advanced Imaging Laborat Add to Reading List Source URL: deckard.mc.duke.edu Language: English - Date: 2010-03-17 14:08:19 Econometrics Mammography Projectional radiography Radiology BI-RADS Regression analysis Breast cancer Digital mammography K-nearest neighbor algorithm Medicine Cancer screening Medical imaging
252	Pose Pooling Kernels for Sub-category Recognition Ning Zhang ICSI & UC Berkeley Ryan Farrell ICSI & UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:02:39 Imaging One-shot learning Visual descriptors Support vector machine K-nearest neighbor algorithm Kernel Feature Scale-invariant feature transform Histogram of oriented gradients Computer vision Artificial intelligence Vision
253	Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features Yangqing Jia1 Chang Huang2 Trevor Darrell1 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:15 Overcompleteness Linear classifier Statistical classification Supervised learning Feature selection K-nearest neighbor algorithm Feature Pattern recognition Support vector machine Statistics Machine learning Artificial intelligence
254	CS294-6 (Fall[removed]Recognizing People, Objects and Actions Lecture: February 17, 2004 Digit Recognition and Distance Transforms Lecturer: Jitendra Malik Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-02-24 17:17:40 Theoretical computer science Computer vision Shape context K-nearest neighbor algorithm Decision tree model Machine learning Search algorithms Artificial intelligence
255	Large-Scale Visual Font Recognition Guang Chen∗ Jianchao Yang† Hailin Jin† Jonathan Brandt† Eli Shechtman† Aseem Agarwala† Tony X. Han∗ † ∗ Adobe Research Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2014-04-26 18:56:39 Artificial intelligence Optics Segmentation Shape context Object recognition K-nearest neighbor algorithm Typeface Feature Computer vision Image processing Vision
256	Do Convnets Learn Correspondence? Jonathan Long Ning Zhang Trevor Darrell University of California – Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-18 21:10:51 Object recognition K-nearest neighbor algorithm Face detection Pose Optical flow Scale-invariant feature transform Computer vision Artificial intelligence Vision
257	¨ t Augsburg Universita Multimodal Ranking for Image Search on Community Databases Fabian Richter, Stefan Romberg Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:02:51 Search algorithms Image search Data mining Information retrieval Image processing Image retrieval Random walk Nearest neighbor search K-nearest neighbor algorithm Information science Artificial intelligence Statistics
258	CS294-6 (Fall[removed]Recognizing People, Objects and Actions Lecture: February 17, 2004 Digit Recognition and Distance Transforms Lecturer: Jitendra Malik Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:02 Theoretical computer science Computer vision Shape context K-nearest neighbor algorithm Decision tree model Machine learning Search algorithms Artificial intelligence
259	Microsoft Word - draft_SGC_2014_MM Add to Reading List Source URL: smartgrid.ucla.edu Language: English - Date: 2014-10-08 15:59:45 K-nearest neighbor algorithm Cluster analysis Cross-validation K-means clustering Forecasting Statistics Machine learning Data analysis
260	Max-margin classification of incomplete data 2 Gal Chechik1 , Geremy Heitz2 , Gal Elidan1 , Pieter Abbeel 1 , Daphne Koller 1 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2009-10-24 23:51:13 Artificial intelligence Support vector machine K-nearest neighbor algorithm Linear classifier Feature selection Supervised learning Enzyme Object recognition Binary classification Statistics Machine learning Statistical classification

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