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VLSISP
1998
111views more  VLSISP 1998»
14 years 11 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
VLSISP
1998
140views more  VLSISP 1998»
14 years 11 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
VLSISP
1998
161views more  VLSISP 1998»
14 years 11 months ago
Automatic Recognition of Human Walking in Monocular Image Sequences
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Jia-Ching Cheng, José M. F. Moura
VLSISP
2002
114views more  VLSISP 2002»
14 years 11 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
VLSISP
2002
103views more  VLSISP 2002»
14 years 11 months ago
A New Class of Efficient Block-Iterative Interference Cancellation Techniques for Digital Communication Receivers
A new and efficient class of nonlinear receivers is introduced for digital communication systems. These "iterated-decision" receivers use optimized multipass algorithms t...
Albert M. Chan, Gregory W. Wornell