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MM
2010
ACM
238views Multimedia» more  MM 2010»
15 years 6 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
ICIP
1997
IEEE
16 years 8 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
170
Voted
ESOA
2006
15 years 10 months ago
Dynamic Decentralized Any-Time Hierarchical Clustering
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
ASAP
2009
IEEE
157views Hardware» more  ASAP 2009»
16 years 3 months ago
Low-Power ASIP Architecture Exploration and Optimization for Reed-Solomon Processing
The advent of the mobile age has heavily changed the requirements of today’s communication devices. Data transmission over interference-prone wireless channels requires addition...
Andreas Genser, Christian Bachmann, Christian Steg...
CHES
2007
Springer
154views Cryptology» more  CHES 2007»
16 years 25 days ago
Multi-gigabit GCM-AES Architecture Optimized for FPGAs
Abstract. This paper presents a design-space exploration of the Galois/Counter Mode (GCM) algorithm with Advanced Encryption Standard (AES) as underlying block cipher for high thro...
Stefan Lemsitzer, Johannes Wolkerstorfer, Norbert ...