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» A Bayesian Approach to Tackling Hard Computational Problems
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ICCV
2007
IEEE
15 years 21 days ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder
ACHI
2009
IEEE
14 years 5 months ago
Model-Driven Instrumentation of Graphical User Interfaces
In today’s continuously changing markets newly developed products often do not meet the demands and expectations of customers. Research on this problem identified a large gap b...
Mathias Funk, Philip Hoyer, Stefan Link
CVPR
2004
IEEE
15 years 23 days ago
Radiometric Calibration from a Single Image
Photometric methods in computer vision require calibration of the camera's radiometric response, and previous works have addressed this problem using multiple registered imag...
Stephen Lin, Jinwei Gu, Shuntaro Yamazaki, Heung-Y...
ISMB
2001
14 years 3 days ago
Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences
Accurately estimating probabilities from observations is important for probabilistic-based approaches to problems in computational biology. In this paper we present a biologically...
Eleazar Eskin, William Noble Grundy, Yoram Singer
ALMOB
2008
131views more  ALMOB 2008»
13 years 11 months ago
Fast algorithms for computing sequence distances by exhaustive substring composition
The increasing throughput of sequencing raises growing needs for methods of sequence analysis and comparison on a genomic scale, notably, in connection with phylogenetic tree reco...
Alberto Apostolico, Olgert Denas