Titlebook: Signal Processing and Multimedia; International Confer Tai-hoon Kim,Sankar K. Pal,Dominik Ślęzak Conference proceedings 2010 The Editor(s)

evince

Semantic Supervised Clustering Approach to Classify Land Cover in Remotely Sensed Images,surface. These images are very useful sources of geographical data commonly used to classify land cover, analyze crop conditions, assess mineral and petroleum deposits and quantify urban growth. In this paper, we propose a semantic supervised clustering approach to classify multispectral information

cravat

Fuzzified Probabilistic Rough Measures in Image Segmentation,a analysis procedures and algorithms. In the last decades, deeper insight into data structure has been made more precise by means of many innovative data analysis approaches. .ough .xtended (Entropy) .ramework presents recently devised algorithmic approach to data analysis based upon inspection of t

无可非议

JHUF-5 Steganalyzer: Huffman Based Steganalytic Features for Reliable Detection of YASS in JPEG Imat blind steganalysis. In this paper we present JHUF-5, a statistical steganalyzer wherein J stands for JPEG, HU represents Huffman based statistics, F denotes FR Index (ratio of file size to resolution) and 5 - the number of features used as predictors for classification. The contribution of this pa

FRONT

Region Covariance Matrices for Object Tracking in Quasi-Monte Carlo Filter,elated. The region covariance matrices-based trackers are robust and versatile with a modest computational cost. In this paper, under the Bayesian inference framework, a region covariance matrices-based quasi-Monte Carlo filter tracker is proposed. The RCMs are used to model target appearances. The

生气的边缘

Target Detection Using PCA and Stochastic Features,on. Images from electro-optical sensors are processed to express target well in signal processing stage. And true targets are well identified in clutter rejection stages. However, it is difficult to process target express well and to identify target from target candidates because they are obscure an

陶瓷

albuminuria

Bombast

floodgate

jet-lag

FITVQSPC: Fast and Improved Transformed Vector Quantization Using Static Pattern Clustering,eed up the design process of VQ with better compression ratio, the features of transform coding and VQ are combined in this work. The transformed training set is obtained using integer based orthogonal polynomials transform with reduced computational complexity. The proposed method generates a singl