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» On multivariate estimation by thresholding
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ICASSP
2011
IEEE
13 years 26 days ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
14 years 3 months ago
Placement and Distributed Deployment of Sensor Teams for Triangulation based Localization
— We address the problem of placing a sensor network so as to minimize the uncertainty in estimating the position of targets. The novelty of our formulation is in the sensing mod...
Volkan Isler
CVIU
2008
141views more  CVIU 2008»
13 years 9 months ago
Change detection using a statistical model in an optimally selected color space
We present a new noise model for color channels for statistical change detection. Based on this noise modeling, we estimate the distribution of Euclidean distances between the pix...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
JMLR
2010
125views more  JMLR 2010»
13 years 3 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra

Source Code
7589views
15 years 5 months ago
MATLAB and Octave Functions for Computer Vision and Image Processing
Great Matlab and Octave function implementation for hot computer vision algorithms such as Feature detection via Phase Congruency, Spatial feature detection, Non-maxima suppression...
P. D. Kovesi