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» Sequence Comparisons via Algorithmic Mutual Information
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DATAMINE
2006
142views more  DATAMINE 2006»
14 years 11 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
ICML
2004
IEEE
16 years 18 days ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
ICIP
2004
IEEE
16 years 1 months ago
Robust perceptual image hashing via matrix invariants
In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
Mehmet Kivanç Mihçak, Ramarathnam Ve...
BIOCOMP
2008
15 years 1 months ago
GIPSCo: A Method for Comparison of Protein Structures Based on Geometric Invariants
Protein structure comparison is important for elucidation of evolutionary relationships, function and functionally important amino acid residues. We propose Geometric Invariant bas...
Sandeep Deshmukh, Aniket Dalal, Pramod Wangikar
ICRA
2006
IEEE
223views Robotics» more  ICRA 2006»
15 years 5 months ago
Real-time 3D Model-based Tracking: Combining Edge and Texture Information
— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm. A non linear minimization approach is used to register 2D and 3D cues for monocular 3D...
Muriel Pressigout, Éric Marchand