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CVPR
2000
IEEE
14 years 1 months ago
Step towards Sequence-to-Sequence Alignment
This paper presents an approach for establishing correspondencesin time and in space between two differentvideo sequences of the same dynamic scene, recorded by stationary uncalib...
Yaron Caspi, Michal Irani
AAAI
2006
13 years 10 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
CVPR
2007
IEEE
14 years 11 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
PAMI
1998
87views more  PAMI 1998»
13 years 8 months ago
Learning Local Languages and Their Application to DNA Sequence Analysis
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
Takashi Yokomori, Satoshi Kobayashi
IPPS
2010
IEEE
13 years 6 months ago
Fast Smith-Waterman hardware implementation
The Smith-Waterman (SW) algorithm is one of the widely used algorithms for sequence alignment in computational biology. With the growing size of the sequence database, there is alw...
Zubair Nawaz, Koen Bertels, Huseyin Ekin Sumbul