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» Markov Random Field Models in Computer Vision
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SAC
2008
ACM
15 years 1 months ago
Error estimation in wireless sensor networks
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
Alejandro César Frery, Heitor Ramos, Jos&ea...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 3 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
ECCV
2008
Springer
16 years 3 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
ICPR
2008
IEEE
15 years 8 months ago
Unsupervised writer style adaptation for handwritten word spotting
We propose a novel approach for writer adaptation in a word spotting task. The method exploits the fact that a semi-continuous hidden Markov model separates the word model paramet...
José A. Rodríguez, Florent Perronnin...
TCSV
2002
229views more  TCSV 2002»
15 years 1 months ago
Automatic segmentation of moving objects in video sequences: a region labeling approach
Abstract--The emerging video coding standard MPEG-4 enables various content-based functionalities for multimedia applications. To support such functionalities, as well as to improv...
Yaakov Tsaig, Amir Averbuch