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» Large-Scale Many-Class Learning
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CVPR
2010
IEEE
14 years 6 months ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik
ANLP
2000
109views more  ANLP 2000»
13 years 11 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Yair Even-Zohar, Dan Roth
NIPS
1993
13 years 11 months ago
The Power of Amnesia
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
Dana Ron, Yoram Singer, Naftali Tishby
COGSCI
2002
71views more  COGSCI 2002»
13 years 9 months ago
Spanning seven orders of magnitude: a challenge for cognitive modeling
Much of cognitive psychology focuses on effects measured in tens of milliseconds while significant educational outcomes take tens of hours to achieve. The task of bridging this ga...
John R. Anderson
BMVC
2010
13 years 8 months ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...