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» The Stardinates - Visualizing Highly Structured Data
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ECCV
2002
Springer
16 years 3 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
ASPLOS
2010
ACM
15 years 8 months ago
MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...
ECIR
2008
Springer
15 years 3 months ago
A Comparison of Social Bookmarking with Traditional Search
Abstract. Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have...
Beate Krause, Andreas Hotho, Gerd Stumme
AI
2006
Springer
15 years 2 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
16 years 3 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010