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» Markov constraints: steerable generation of Markov sequences
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JCB
2000
107views more  JCB 2000»
15 years 5 days ago
A Discriminative Framework for Detecting Remote Protein Homologies
A new method for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support...
Tommi Jaakkola, Mark Diekhans, David Haussler
76
Voted
ICPR
2010
IEEE
15 years 4 months ago
Scene Text Extraction with Edge Constraint and Text Collinearity
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it veriï...
Seonghun Lee, Kyomin Jung, Jin Hyung Kim
80
Voted
DMTCS
2007
49views Mathematics» more  DMTCS 2007»
15 years 11 days ago
Waiting Time Distributions for Pattern Occurrence in a Constrained Sequence
A binary sequence of zeros and ones is called a (d, k)-sequence if it does not contain runs of zeros of length either less than d or greater than k, where d and k are arbitrary, b...
Valery T. Stefanov, Wojciech Szpankowski
CVIU
2006
222views more  CVIU 2006»
15 years 12 days ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
RECOMB
2003
Springer
16 years 21 days ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge