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» A statistical framework for DTI segmentation
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149
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IGARSS
2010
15 years 23 days ago
New hyperspectral data representation using binary partition tree
The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image processing tools. This paper introduces a new hierarchical ...
Silvia Valero, Philippe Salembier, Jocelyn Chanuss...
145
Voted
TASLP
2011
14 years 10 months ago
On the Information Geometry of Audio Streams With Applications to Similarity Computing
Abstract—This paper proposes methods for information processing of audio streams using methods of information geometry. We lay the theoretical groundwork for a framework allowing...
Arshia Cont, Shlomo Dubnov, Gérard Assayag
CVPR
2004
IEEE
16 years 5 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
151
Voted
ECCV
2006
Springer
15 years 7 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
119
Voted
TASLP
2008
131views more  TASLP 2008»
15 years 3 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee