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» Comparison of Feature Sets Using Multimedia Translation
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ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...
ICMCS
2007
IEEE
159views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Boosting Face Retrieval by using Relevant Set Correlation Clustering
We present a method to improve the performance of face retrieval in news videos by using the relevant-set correlation (RSC) clustering model. In this method, faces of a person are...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
IJCAI
1989
13 years 8 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
ICCD
2000
IEEE
159views Hardware» more  ICCD 2000»
13 years 11 months ago
Evaluating Signal Processing and Multimedia Applications on SIMD, VLIW and Superscalar Architectures
This paper aims to provide a quantitative understanding of the performance of DSP and multimedia applications on very long instruction word (VLIW), single instruction multiple dat...
Deependra Talla, Lizy Kurian John, Viktor S. Lapin...
JMLR
2010
206views more  JMLR 2010»
13 years 2 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...