Results 1 - 10 of 2,644

Divergence measures based on the Shannon entropy

by Jianhua Lin - IEEE Transactions on Information theory , 1991
"... Abstract-A new class of information-theoretic divergence measures based on the Shannon entropy is introduced. Unlike the well-known Kullback divergences, the new measures do not require the condition of absolute continuity to be satisfied by the probability distributions in-volved. More importantly, ..."
Abstract - Cited by 666 (0 self) - Add to MetaCart
Abstract-A new class of information-theoretic divergence measures based on the Shannon entropy is introduced. Unlike the well-known Kullback divergences, the new measures do not require the condition of absolute continuity to be satisfied by the probability distributions in-volved. More importantly

Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

by Rafael A Irizarry , Bridget Hobbs , Francois Collin , Yasmin D Beazer-Barclay , Kristen J Antonellis , Uwe Scherf , Terence P Speed - Biostatistics, , 2003
"... SUMMARY In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip R system with the objective of improving upon currently used measures of gene expression. Our analyses make use of three data sets: a small experimental study consisting of f ..."
Abstract - Cited by 854 (33 self) - Add to MetaCart
analyses of the probe level data motivate a new summary measure that is a robust multiarray average (RMA) of background-adjusted, normalized, and log-transformed P M values. We evaluate the four expression summary measures using the dilution study data, assessing their behavior in terms of bias, variance

Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,

by ] Richard Hackman , Grec R Oldham , 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract - Cited by 622 (2 self) - Add to MetaCart
A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally

Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques

by Nicolaos B. Karayiannis, Glenn Weiqun Mi - IEEE Transactions on Neural Networks , 1997
"... Abstract—This paper proposes a framework for constructing and training radial basis function (RBF) neural networks. The proposed growing radial basis function (GRBF) network begins with a small number of prototypes, which determine the locations of radial basis functions. In the process of training, ..."
Abstract - Cited by 58 (3 self) - Add to MetaCart
networks are evaluated and tested on a variety of data sets with very satisfactory results. Index Terms — Class-conditional variance, network growing, radial basis neural network, radial basis function, splitting criterion,

The Variance Gamma Process and Option Pricing.

by Dilip B. Madan, Peter Carr, Eric C. Chang - European Finance Review , 1998
"... : A three parameter stochastic process, termed the variance gamma process, that generalizes Brownian motion is developed as a model for the dynamics of log stock prices. The process is obtained by evaluating Brownian motion with drift at a random time given by a gamma process. The two additional par ..."
Abstract - Cited by 365 (34 self) - Add to MetaCart
: A three parameter stochastic process, termed the variance gamma process, that generalizes Brownian motion is developed as a model for the dynamics of log stock prices. The process is obtained by evaluating Brownian motion with drift at a random time given by a gamma process. The two additional

Robust frequency and timing synchronization for OFDM

by Timothy M. Schmidl, Donald C. Cox - IEEE Transactions on Communications , 1997
"... Abstract — A rapid synchronization method is presented for an orthogonal frequency-division multiplexing (OFDM) system using either a continuous transmission or a burst operation over a frequency-selective channel. The presence of a signal can be detected upon the receipt of just one training sequen ..."
Abstract - Cited by 386 (0 self) - Add to MetaCart
over many subcarriers allows acquisition at very low signal-to-noise ratios (SNR’s). Index Terms — Carrier frequency, orthogonal frequency-division multiplexing, symbol timing estimation.

Image Representation Using 2D Gabor Wavelets

by Tai Sing Lee - IEEE Trans. Pattern Analysis and Machine Intelligence , 1996
"... This paper extends to two dimensions the frame criterion developed by Daubechies for one-dimensional wavelets, and it computes the frame bounds for the particular case of 2D Gabor wavelets. Completeness criteria for 2D Gabor image representations are important because of their increasing role in man ..."
Abstract - Cited by 375 (4 self) - Add to MetaCart
formed an orthonormal basis. Approximating a "tight frame" generates redundancy which allows low-resolution neural responses to represent high-resolution images, as we illustrate by image reconstructions with severely quantized 2D Gabor coefficients. Index Terms---Gabor wavelets, coarse coding

Latent semantic indexing: A probabilistic analysis

by Christos H. Papadimitriou, Prabhakar Raghavan, Hisao Tamaki , Santosh Vempala , 1998
"... Latent semantic indexing (LSI) is an information retrieval technique based on the spectral analysis of the term-document matrix, whose empirical success had heretofore been without rigorous prediction and explanation. We prove that, under certain conditions, LSI does succeed in capturing the underl ..."
Abstract - Cited by 323 (7 self) - Add to MetaCart
Latent semantic indexing (LSI) is an information retrieval technique based on the spectral analysis of the term-document matrix, whose empirical success had heretofore been without rigorous prediction and explanation. We prove that, under certain conditions, LSI does succeed in capturing

Front End Factor Analysis for Speaker Verification

by Najim Dehak, Patrick J. Kenny, Réda Dehak, Pierre Dumouchel, Pierre Ouellet - IEEE Transactions on Audio, Speech and Language Processing , 2010
"... Abstract—This paper presents an extension of our previous work which proposes a new speaker representation for speaker verification. In this modeling, a new low-dimensional speaker- and channel-dependent space is defined using a simple factor analysis. This space is named the total variability space ..."
Abstract - Cited by 315 (22 self) - Add to MetaCart
for both-gender trials on the 10 s-10 s condition compared to the classical joint factor analysis scoring. Index Terms—Cosine distance scoring, joint factor analysis (JFA), support vector machines (SVMs), total variability space. I.

The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel

by Muriel Médard - IEEE Trans. Inf. Theory , 2000
"... Abstract—We present a model for time-varying communication single-access and multiple-access channels without feedback. We consider the difference between mutual information when the receiver knows the channel perfectly and mutual information when the receiver only has an estimate of the channel. We ..."
Abstract - Cited by 271 (7 self) - Add to MetaCart
of the channel to the loss in mutual information due to imperfect knowledge of the measured channel. Index Terms—Channel uncertainty, multiple-access channels, mutual information, time-varying channels, wireless communications. I.
Results 1 - 10 of 2,644