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MM
2004
ACM
124views Multimedia» more  MM 2004»
15 years 2 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
BMCBI
2006
108views more  BMCBI 2006»
14 years 9 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
IEEEPACT
2006
IEEE
15 years 3 months ago
Complexity-based program phase analysis and classification
Modeling and analysis of program behavior are at the foundation of computer system design and optimization. As computer systems become more adaptive, their efficiency increasingly...
Chang-Burm Cho, Tao Li
IOLTS
2002
IEEE
99views Hardware» more  IOLTS 2002»
15 years 2 months ago
A BIST-Based Solution for the Diagnosis of Embedded Memories Adopting Image Processing Techniques
This paper proposes a new solution for the diagnosis of faults into embedded RAMs, currently under evaluation within STMicroelectronics. The proposed scheme uses dedicated circuit...
Davide Appello, Alessandra Fudoli, Vincenzo Tancor...