The proceedings contain 18 papers. The topics discussed include: noise tolerant dendritic lattice associative memories;algorithms for adaptive nonlinear pattern recognition;massively parallel computation of lattice as...
ISBN:
(纸本)9780819487469
The proceedings contain 18 papers. The topics discussed include: noise tolerant dendritic lattice associative memories;algorithms for adaptive nonlinear pattern recognition;massively parallel computation of lattice associative memory classifiers on multicore processors;fractal-based watermarking of color images;the optimum discrete scan-type approximation of low-pass type signals bounded by a measure like Kullback-Leibler divergence;extension of the concept of multi-legged-type signals to the optimum multidimensional running approximation of multidimensional band-limited signals;limited-photon 3D image recognition using photon-counting integral imaging;aligning images with cad models via quaternion optimization;the optimum approximation of multidimensional vector signals by multi-input multi-output matrix filter banks;multidimensional feature extraction from 3D hyperspectral images;and a comparative test of different compression methods applied to solar images.
The proceedings contain 26 papers. The topics discussed include: object/image relations in full and weak perspective and 3D reconstruction;the design of wavelets for limited-angle tomographic hyperspectral imaging sys...
ISBN:
(纸本)9780819482952
The proceedings contain 26 papers. The topics discussed include: object/image relations in full and weak perspective and 3D reconstruction;the design of wavelets for limited-angle tomographic hyperspectral imaging systems;an overview of view-based 2D/3D indexing methods;image algebra Matlab language version 2.3 for image processing and compression research;a comparison study between Wiener and adaptive state estimation (STAP-ASE) algorithms for space time adaptive radar processing;information theoretic analysis of edge detection in visual communication;combination of the sensitivity in EM field and the optimum nonlinear interpolation approximation as a favorable means of CAD of composite meta-materials;3D object recognition with photon-counting integral imaging using independent component analysis;and decision tree classifier for character recognition combining support vector machines and artificial neural networks.
The proceedings contain 18 papers. The topics discussed include: model based compression of the calibration matrix for hyperspectral imaging systems;optimization of a lossless object-based compression embedded on GAIA...
详细信息
ISBN:
(纸本)9780819468482
The proceedings contain 18 papers. The topics discussed include: model based compression of the calibration matrix for hyperspectral imaging systems;optimization of a lossless object-based compression embedded on GAIA a next-generation space telescope;design of multichannel filter banks for subband coding of audio signals using multirate signal processing techniques;the optimum running-type approximation for time-limited worst-case measures of error based on Fredholm integral equation using Pincherle-Goursat kernel;adaptive model and neural network based watermark identification;compressed versus uncompressed domain video watermarking;generation of lattice independent vector sets for pattern recognition applications;and the validity of pyramid k-means clustering.
The proceedings contains 22 papers of SPIE : mathematics of data/image coding, compression, and encryption vi, with applications. The topics discussed include: natural language insensitive short textual string compres...
详细信息
The proceedings contains 22 papers of SPIE : mathematics of data/image coding, compression, and encryption vi, with applications. The topics discussed include: natural language insensitive short textual string compression;techniques for region coding in object-based image compression;boundary representation techniques for object-based image compression;meitei coding for subband image compression;standards-compatible compression for automated image recognition in sensor networks and surveillance systems and non-MSE data compression for emitter location for radar pulse trains.
Lattice independence and strong lattice independence of a set of pattern vectors are fundamental mathematical proper-ties that lie at the core of pattern recognition applications based on lattice theory. Specifically,...
详细信息
ISBN:
(纸本)9780819468482
Lattice independence and strong lattice independence of a set of pattern vectors are fundamental mathematical proper-ties that lie at the core of pattern recognition applications based on lattice theory. Specifically, the development of morphological associative memories robust to inputs corrupted by random noise are based on strong lattice independent sets, and real world problems, such as, autonomous endmember detection in hyperspectral imagery, use auto-associative morphological memories as detectors of lattice independence. In this paper, we present a unified mathematical framework that-develops the relationship between different notions of lattice independence currently used in the literature. Computational procedures are provided to test if a given set of pattern vectors is lattice independent or strongly lattice independent;in addition, different techniques are fully described that can be used to generate sets of vectors with the aforementioned lattice properties.
The proceedings contain 23 papers. The topics discussed include: biorthogonal wavelets of maximum coding through pseudoframes for subspaces;a skinning prediction scheme for dynamic 3D mesh compression;multi-modal mult...
详细信息
ISBN:
(纸本)0819463949
The proceedings contain 23 papers. The topics discussed include: biorthogonal wavelets of maximum coding through pseudoframes for subspaces;a skinning prediction scheme for dynamic 3D mesh compression;multi-modal multi-fractal boundary encoding in object-based image compression;perspectives on data compression methods for network-level management of multi-sensor systems;exploiting data compression methods for network-level management of multi-sensor systems;a model utilizing artificial neural network for perceptual image;use of adaptive models in watermark identification;data payload optimality: a key issue for for video watermarking applications;quantization index modulation-based watermarking using holography;the optimum estimation of statistical signals based on systematic expression of many types of sample arrays in multidimensional space;and segmentation of motion textures using mixed-state Markov random fields.
The proceedings contain 21 papers. The topics discussed include: a cryptanalysis procedure of the dataencryption standard;an adaptive watermarking scheme in the DCT domain;robust video watermarking using additional w...
详细信息
The proceedings contain 21 papers. The topics discussed include: a cryptanalysis procedure of the dataencryption standard;an adaptive watermarking scheme in the DCT domain;robust video watermarking using additional watermarking techniques;computational complexity of object-based image compression;error measures for object-based image compression;exploiting the distributed source coding paradigm for low-complexity compression of hyperspectral images;fast feature extraction in hyperspectral imagery via lifting wavelet transforms;deformable block motion compensation scheme for aerial video surveillance coding;minimax eigenvector decomposition for data hiding;and selective weighing on wavelet coefficients for blind image watermarking system.
暂无评论