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» Learning Mid-Level Features For Recognition
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ICPR
2004
IEEE
14 years 10 months ago
Fast Object and Pose Recognition Through Minimum Entropy Coding
We present a pattern recognizer to classify a variety of objects and their pose on a table from real world images. Learning of weights in a linear discriminant is based on estimat...
Günter Westphal, Rolf P. Würtz
ANLP
2000
109views more  ANLP 2000»
13 years 10 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts
CVPR
2007
IEEE
14 years 11 months ago
Recognizing Night Walkers Based on One Pseudoshape Representation of Gait
Gait is a promising biometric cue which can facilitate the recognition of human beings, particularly when other biometrics are unavailable. Existing work for gait recognition, how...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
MICAI
2009
Springer
14 years 3 months ago
Supervised Recognition of Age-Related Spanish Temporal Phrases
This paper reports research on temporal expressions shaped by a common temporal expression for a period of years modified by an adverb of time. From a Spanish corpus we found that ...
Sofía N. Galicia-Haro, Alexander F. Gelbukh
ECCV
2004
Springer
14 years 11 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...