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» The complexity of stochastic sequences
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JC
2007
96views more  JC 2007»
15 years 6 months ago
Error linear complexity measures for multisequences
Complexity measures for sequences over finite fields, such as the linear complexity and the k-error linear complexity, play an important role in cryptology. Recent developments ...
Wilfried Meidl, Harald Niederreiter, Ayineedi Venk...
153
Voted
CVPR
2007
IEEE
16 years 8 months ago
Towards Robust Pedestrian Detection in Crowded Image Sequences
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Edgar Seemann, Mario Fritz, Bernt Schiele
190
Voted
ECCV
2004
Springer
16 years 8 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
16 years 6 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
168
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COCOA
2007
Springer
16 years 10 days ago
A New Dynamic Programming Algorithm for Multiple Sequence Alignment
Abstract. Multiple sequence alignment (MSA) is one of the most basic and central tasks for many studies in modern biology. In this paper, we present a new progressive alignment alg...
Jean-Michel Richer, Vincent Derrien, Jin-Kao Hao