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ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
MM
2006
ACM
158views Multimedia» more  MM 2006»
14 years 1 months ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
DATE
1998
IEEE
153views Hardware» more  DATE 1998»
13 years 11 months ago
An Energy-Conscious Exploration Methodology for Reconfigurable DSPs
As the "system-on-a-chip" concept is rapidly becoming a reality, time-to-market and product complexity push the reuse of complex macromodules. Circuits combining a varie...
Jan M. Rabaey, Marlene Wan
LCN
2006
IEEE
14 years 1 months ago
Computing Real Time Jobs in P2P Networks
— In this paper, we present a distributed computing framework designed to support higher quality of service and fault tolerance for processing deadline-driven tasks in a P2P envi...
Jingnan Yao, Jian Zhou, Laxmi N. Bhuyan
VISUALIZATION
2005
IEEE
14 years 29 days ago
Exploiting Frame-to-Frame Coherence for Accelerating High-Quality Volume Raycasting on Graphics Hardware
GPU-based raycasting offers an interesting alternative to conventional slice-based volume rendering due to the inherent flexibility and the high quality of the generated images. ...
Thomas Klein, Magnus Strengert, Simon Stegmaier, T...