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THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE
Low Backscattering Objects Bag of Words SIFT features Support Vector Machine
2018/5/16
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
Mean field variational Bayesian inference for support vector machine classification
Approximate Bayesian inference variable selection missing data mixed model Markov chain Monte Carlo
2013/6/14
A mean field variational Bayes approach to support vector machines (SVMs) using the latent variable representation on Polson & Scott (2012) is presented. This representation allows circumvention of ma...
HIGH RESOLUTION POLSAR IMAGE CLASSIFICATION BASED ON GENETIC ALGORITHM AND SUPPORT VECTOR MACHINE
PolSAR Classification Feature Selection GA SVM
2014/4/24
This paper focuses on backscattering mechanisms selection and supervised classification works for CETC38-X PolSAR image.
Thanks to the high radar resolution, many classes of man-made objects are vis...
Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem
Optimization and Control (math.OC) Numerical Analysis (math.NA) Statistics Theory (math.ST)
2010/12/17
This paper formulates a generalized classification algorithm with an application to classifying (or `decoding') neural activity in the brain. Medical doctors and researchers have long been interested ...
Huberized Multi-class Support Vector Machine for Microarray Classification
Gene selection grouping effect microarray classification
2009/9/9
This paper proposes a new multi-class support vector machine for simultaneous gene selection and microarray classification. Combining the huberized hinge loss function and the elastic net penalty, the...
Support vector machine for functional data classification
Functional Data Analysis Support Vector Machine Classification Consistency
2010/4/29
In many applications, input data are sampled functions taking their values in infinite
dimensional spaces rather than standard vectors. This fact has complex consequences
on data analysis algorithms...
Action Recognition in Broadcast Tennis Video Using Optical Flow and Support Vector Machine
Action Recognition Broadcast Tennis Video Optical Flow and Support Vector Machine
2010/12/16
Motion analysis in broadcast sports video is a challenging problem especially for player action recognition due to the low resolution of players in the frames. In this paper, we present a novel approa...
Automatic multi-player detection and tracking in broadcast sports video using support vector machine and particle filter
broadcast sports video support vector machine particle filter
2010/12/16
In this paper, a novel multiple objects detection and tracking approach based on support vector machine and particle filter is proposed to track players in broadcast sports video. Compared with previo...
A Block-Based Support Vector Machine Approach to the Protein Homology Prediction Task in KDD Cup 2004
Vector Machine the Protein Homology Prediction Task KDD Cup 2004
2010/12/14
This paper describes our solution for the protein homology prediction task in KDD Cup 2004 competition. This task is modeled as a supervised learning problem with multiple performance metrics.Several ...