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» A comparative study of two object recognition methods
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141
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CVPR
2003
IEEE
16 years 6 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...
SIGIR
2004
ACM
15 years 9 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
133
Voted
CHI
2005
ACM
16 years 4 months ago
Resizing beyond widgets: object resizing techniques for immersive virtual environments
The most common technique for resizing 3D objects in virtual environments is the use of 3D widgets. However, such techniques often exhibit usability problems due to difficulties i...
John F. Lucas, Ji-Sun Kim, Doug A. Bowman
141
Voted
ISCI
2008
129views more  ISCI 2008»
15 years 3 months ago
Thai spelling analysis for automatic spelling speech recognition
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
Chutima Pisarn, Thanaruk Theeramunkong
AIR
2002
165views more  AIR 2002»
15 years 3 months ago
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
Kay Chen Tan, Tong Heng Lee, Eik Fun Khor