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» Object detection at multiple scales improves accuracy
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ICASSP
2011
IEEE
14 years 1 months ago
Topic-sensitive interactive image object retrieval with noise-proof relevance feedback
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
Jen-Hao Hsiao, Henry Chang
CVPR
2004
IEEE
15 years 1 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
ICRA
2005
IEEE
183views Robotics» more  ICRA 2005»
15 years 3 months ago
Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D
— Vision is one of the most powerful sensory modalities in robotics, allowing operation in dynamic environments. One of our long-term research interests is mobile manipulation, w...
Ville Kyrki, Danica Kragic
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
14 years 10 months ago
Leveraging spatio-temporal redundancy for RFID data cleansing
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Su...
MM
2006
ACM
152views Multimedia» more  MM 2006»
15 years 3 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng