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Enhancement Schemes for Constraint Processing: Backjumping, Learning, and Cutset Decomposition
- ARTIFICIAL INTELLIGENCE
, 1990
"... Researchers m the areas of constramt sattsfactton problems, logtc programmmg, and truth mamtenance systems have suggested vartous schemes for enhancmg the performance of the backtracking algorithm Thts paper defines and compares the performance of three such schemes "backlumpmg," "lea ..."
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Cited by 281 (35 self)
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Researchers m the areas of constramt sattsfactton problems, logtc programmmg, and truth mamtenance systems have suggested vartous schemes for enhancmg the performance of the backtracking algorithm Thts paper defines and compares the performance of three such schemes "backlumpmg," "
Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging
- MAGNETIC RESONANCE IN MEDICINE 58:1182–1195
, 2007
"... The sparsity which is implicit in MR images is exploited to significantly undersample k-space. Some MR images such as angiograms are already sparse in the pixel representation; other, more complicated images have a sparse representation in some transform domain–for example, in terms of spatial finit ..."
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Cited by 538 (11 self)
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finite-differences or their wavelet coefficients. According to the recently developed mathematical theory of compressedsensing, images with a sparse representation can be recovered from randomly undersampled k-space data, provided an appropriate nonlinear recovery scheme is used. Intuitively, artifacts
Semantic similarity based on corpus statistics and lexical taxonomy
- Proc of 10th International Conference on Research in Computational Linguistics, ROCLING’97
, 1997
"... This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between nodes in the semantic space constructed by the taxonomy can be better quantifie ..."
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Cited by 873 (0 self)
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quantified with the computational evidence derived from a distributional analysis of corpus data. Specifically, the proposed measure is a combined approach that inherits the edge-based approach of the edge counting scheme, which is then enhanced by the node-based approach of the information content
Efficient implementation of a BDD package
- In Proceedings of the 27th ACM/IEEE conference on Design autamation
, 1991
"... Efficient manipulation of Boolean functions is an important component of many computer-aided design tasks. This paper describes a package for manipulating Boolean functions based on the reduced, ordered, binary decision diagram (ROBDD) representation. The package is based on an efficient implementat ..."
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Cited by 504 (9 self)
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to decrease memory use. Memory function efficiency is improved by using rules that detect. when equivalent functions are computed. The usefulness of the package is enhanced by an automatic and low-cost scheme for rec:ycling memory. Experimental results are given to demonstrate why various implementation trade
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2001
"... The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries), an imag ..."
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Cited by 551 (35 self)
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, which are characterized by color, texture, shape, and location. The system classifies images into semantic categories, such as textured-nontextured, graphphotograph. Potentially, the categorization enhances retrieval by permitting semantically-adaptive searching methods and narrowing down the searching
Experiments With An Extended Adaptive Svd Enhancement Scheme For
, 2001
"... An extension to adaptive signal subspace methods is presented, based on singular value decomposition (SVD) with an online estimation of the noise variance. With this approach aiming at automatic speech recognition (ASR) in adverse environmental conditions no speech detection has to be performed. A c ..."
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Cited by 2 (0 self)
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comparison of different SVD approaches and nonlinear spectral subtraction within ASR experiments of different applications is conducted for weakly correlated noise scenarios. Better performance in the case of signal subspace speech enhancement with respect to both accuracy as well as robustness of parameter
A Study of Performance Enhancement Schemes for Multicarrier Transmission
"... OFDM allow the transmission of high data rates over broadband channel due to the spectral bandwidth efficiency, robustness to the multipath delay etc. However OFDM signal are very sensitive to nonlinear effects due to the high peak-toaverage power radio (PAPR), which is one of the major drawback of ..."
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Cited by 1 (0 self)
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) and digital-to- analog converter (DAC) also get increased if the PAPR of OFDM signal is high. Thus in OFDM system one of the important research areas is reduction of PAPR. This paper reviews the conventional PAPR reduction schemes for achieving the low computational complexity in wireless communication
Transmission Rate Enhancement Schemes for Digital Radio Mondiale Systems
"... In this paper, transmission rate enhancement schemes for DRM (Digital Radio Mondiale), which is a worldwide standard for digital AM and FM broadcasting in the AM and FM bands below 170 MHz, are presented and compared. The data rate of the legacy DRM system is supported up-to 186kbps with 16QAM and M ..."
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In this paper, transmission rate enhancement schemes for DRM (Digital Radio Mondiale), which is a worldwide standard for digital AM and FM broadcasting in the AM and FM bands below 170 MHz, are presented and compared. The data rate of the legacy DRM system is supported up-to 186kbps with 16QAM
A NEW ITERATIVE SPEECH ENHANCEMENT SCHEME BASED ON KALMAN FILTERING
"... A new iterative speech enhancement scheme that can be seen as an approximation to the Expectation-Maximization (EM) algorithm is proposed. The algorithm employs a Kalman filter that models the excitation source as a spectrally white process with a rapidly time-varying variance, which calls for a hig ..."
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A new iterative speech enhancement scheme that can be seen as an approximation to the Expectation-Maximization (EM) algorithm is proposed. The algorithm employs a Kalman filter that models the excitation source as a spectrally white process with a rapidly time-varying variance, which calls for a
Results 1 - 10
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10,224