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AAAI
2006
13 years 11 months ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
ISPAN
2009
IEEE
14 years 4 months ago
Vector Bank Based Multimedia Codec System-on-a-Chip (SoC) Design
—In this paper, we present a design architecture of implementing a ”Vector Bank” into video encoder system, namely, an H.264 encoder, in order to detect and analyze the movin...
Ruei-Xi Chen, Wei Zhao, Jeffrey Fan, Asad Davari
IJCNN
2006
IEEE
14 years 4 months ago
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
Ting Yu, Tony Jan, John K. Debenham, Simeon J. Sim...
ICIP
2000
IEEE
14 years 2 months ago
Low-Complexity Global Motion Estimation from P-Frame Motion Vectors for MPEG-7 Applications
In this contribution, we present an algorithm for lowcomplexity global motion estimation, that works with block-coded video (e.g. MPEG-2). A superimposed global motion model is fi...
Aljoscha Smolic, Michael Hoeynck, Jens-Rainer Ohm
CVPR
1997
IEEE
14 years 2 months ago
Gradient Vector Flow: A New External Force for Snakes
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initializ...
Chenyang Xu, Jerry L. Prince