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» Minimum Risk Distance Measure for Object Recognition
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CVPR
2001
IEEE
14 years 7 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ICASSP
2011
IEEE
12 years 9 months ago
Discriminative Training for direct minimization of deletion, insertion and substitution errors
In this paper, we follow the minimum error principle for acoustic modeling and formulate error objectives in insertion, deletion, and substitution separately for minimization duri...
Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang
ASSETS
2006
ACM
13 years 11 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 5 months ago
Similarity of Objects and the Meaning of Words
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Rudi Cilibrasi, Paul M. B. Vitányi
MVA
2002
125views Computer Vision» more  MVA 2002»
13 years 5 months ago
Recognition of 3-D Free-form Objects Using Distance-supported Shape Index
In this paper, we present an approach to incorporating partial geometric information into a local feature-based The distance-supported shape index is proposed for the representatio...
Dong-O Kim, Sang Wook Lee, Rae-Hong Park