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ICPR
2004
IEEE
16 years 8 months ago
Online Learning of Color Transformation for Interactive Object Recognition under Various Lighting Conditions
This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the sys...
Nobutaka Shimada, Yasushi Makihara, Yoshiaki Shira...
ICIP
2009
IEEE
16 years 7 months ago
Learning Local Models For 2d Human Motion Tracking
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
AUSAI
2005
Springer
16 years 11 days ago
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques
In content-based image retrieval (CBIR), the user usually poses several labelled images and then the system attempts to retrieve all the images relevant to the target concept defi...
Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
15 years 12 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung