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Book
519views
16 years 8 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
ISAMI
2010
14 years 7 months ago
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Sérgio A. D. Deusdado, Paulo Carvalho
ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
15 years 2 months ago
Mobile Robot Localization using an Incremental Eigenspace Model
— When using appearance-based recognition for self-localization of mobile robots, the images obtained during the exploration of the environment need to be efficiently stored in t...
Matej Artac, Matjaz Jogan, Ales Leonardis
GMP
2006
IEEE
112views Solid Modeling» more  GMP 2006»
15 years 3 months ago
Time-Varying Volume Geometry Compression with 4D Lifting Wavelet Transform
Geometry compression is an effective way to distribute high-volume geometry data within limited bandwidth and storage capacity. In this paper, a new time-varying 3D geometry compre...
Yan Wang, Heba Hamza
3DPVT
2002
IEEE
169views Visualization» more  3DPVT 2002»
15 years 2 months ago
Compression of Isosurfaces for Structured Volumes with Context Modelling
In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is given by...
Dietmar Saupe, Jens-Peer Kuska