• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 180
Next 10 →

Efficient data mining for path traversal patterns

by Ming-syan Chen, Senior Member, Jong Soo Park, Philip S. Yu - IEEE Transactions on Knowledge and Data Engineering , 1998
"... Abstract—In this paper, we explore a new data mining capability that involves mining path traversal patterns in a distributed information-providing environment where documents or objects are linked together to facilitate interactive access. Our solution procedure consists of two steps. First, we der ..."
Abstract - Cited by 217 (16 self) - Add to MetaCart
algorithms to determine the frequent traversal patterns¦i.e., large reference sequences¦from the maximal forward references obtained. Two algorithms are devised for determining large reference sequences; one is based on some hashing and pruning techniques, and the other is further improved with the option

On the Kalman filtering method in neural network training and pruning

by John Sum, Chi-sing Leung, Gilbert H. Young, Wing-kay Kan - IEEE Trans. Neural Networks , 1999
"... Abstract — In the use of extended Kalman filter approach in training and pruning a feedforward neural network, one usually encounters the problems on how to set the initial condition and how to use the result obtained to prune a neural network. In this paper, some cues on the setting of the initial ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
Abstract — In the use of extended Kalman filter approach in training and pruning a feedforward neural network, one usually encounters the problems on how to set the initial condition and how to use the result obtained to prune a neural network. In this paper, some cues on the setting of the initial

Extended Kalman Filter Based Pruning Algorithms And Several Aspects Of Neural Network Learning

by John Pui-Fai Sum , 1998
"... In recent years, more and more researchers have been aware of the effectiveness of using the extended Kalman filter (EKF) in neural network learning since some information such as the Kalman gain and error covariance matrix can be obtained during the progress of training. It would be interesting to ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
to inquire if there is any possibility of using an EKF method together with pruning in order to speed up the learning process, as well as to determine the size of a trained network. In this dissertation, certain extended Kalman filter based pruning algorithms for feedforward neural network (FNN

Front-end electronics for ALICE TPC-Detector

by H. K. Soltveit, J. Stachel
"... The front-end electronics for the ALICE TPC to read out the charge detected by 570132 pads located on the readout chamber end-caps is here presented. The read-out chambers are multiwire proportional chambers with cathode pad read-out. The pads receive as the image charge of the signal on the anode a ..."
Abstract - Add to MetaCart
will be located in an area with limited access. High reliability is thus a concern. The circuit was developed in 0.35 µm CMOS technology. The front-end electronics consist of a charge sensitive preamplifier/shaper, a 10-bit 10 MHz low-power ADC and an ASIC which contains a shortening digital filter for the tail

Error Estimates for Filtered Back Projection

by Matthias Beckmann, Armin Iske
"... Abstract—Computerized tomography allows us to reconstruct a bivariate function from its Radon samples. The reconstruction is based on the filtered back projection (FBP) formula, which gives an analytical inversion of the Radon transform. The FBP formula, however, is numerically unstable. Therefore, ..."
Abstract - Add to MetaCart
, suitable low-pass filters of finite bandwidth are employed to make the reconstruction by FBP less sensitive to noise. The objective of this paper is to analyse the reconstruction error occurring due to the use of a low-pass filter. To this end, we prove L2 error estimates on Sobolev spaces of fractional

Spectral reproduction from scene to hardcopy I: Input and Output

by Francisco Imai, Mitchell Rosen, Dave Wyble, Roy Berns, Di-Yuan Tzeng , 2001
"... Efforts to construct end-to-end color reproduction systems based on the preservation of scene spectral data have been underway at the Munsell Color Science Laboratory (MCSL). The goal is to present hardcopy results which are spectrally matched to original colors. The evaluated approach consists of c ..."
Abstract - Cited by 20 (11 self) - Add to MetaCart
Efforts to construct end-to-end color reproduction systems based on the preservation of scene spectral data have been underway at the Munsell Color Science Laboratory (MCSL). The goal is to present hardcopy results which are spectrally matched to original colors. The evaluated approach consists

Millimeter Wave RF Front End Design using Neuro-Genetic Algorithms

by Rana J. Pratap, J. H. Lee, S. Pinel, G. S. May, J. Laskar, E. M. Tentzeris
"... This paper presents neural network and genetic algorithm based modeling and design of millimeter wave RF front end circuits. The neuro-genetic design methodology is composed of two stages. Stage one consists of the development of an accurate neural network model for the microwave filters from the me ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper presents neural network and genetic algorithm based modeling and design of millimeter wave RF front end circuits. The neuro-genetic design methodology is composed of two stages. Stage one consists of the development of an accurate neural network model for the microwave filters from

Man-Made Noise Evaluation for Cryogenic Receiver Front-End

by Shoichi Narahashi, Kei Satoh, Yasunori Suzuki, Tetsuya Mimura, Toshio Nojima
"... Abstract—This paper presents measured results of manmade noise impact on an cryogenic receiver front-end (CRFE) in urban and suburban areas in the 2-GHz band with amplitude probability distribution (APD). The CRFE comprises a high-temperature superconducting filter, cryogenically-cooled low-noise am ..."
Abstract - Add to MetaCart
Abstract—This paper presents measured results of manmade noise impact on an cryogenic receiver front-end (CRFE) in urban and suburban areas in the 2-GHz band with amplitude probability distribution (APD). The CRFE comprises a high-temperature superconducting filter, cryogenically-cooled low

POWER QUALITY IMPROVEMENT USING SHUNT ACTIVE FILTER

by S Ayyapan, R Sivalingam, V Selva Ganapathi, G Ramakrishnan
"... Power quality (PQ) problems have obtained increasing attentions as they can affect lots of sensitive end-users including industrial and commercial electrical consumers. This paper describes the development of a low cost shunt active power filter with digital control, which allows dynamic power facto ..."
Abstract - Add to MetaCart
Power quality (PQ) problems have obtained increasing attentions as they can affect lots of sensitive end-users including industrial and commercial electrical consumers. This paper describes the development of a low cost shunt active power filter with digital control, which allows dynamic power

An LTCC Balanced-to-Unbalanced Extracted-Pole Bandpass Filter With Complex Load

by Lap Kun Yeung, Ke-li Wu, Senior Member
"... Abstract—In this paper, the fundamental characteristics of a novel third-order RF balanced-to-unbalanced filter, namely, a balun filter, for integrated RF module applications are pre-sented. This center-tapped transformer-based new device works concurrently as a balun, an extracted-pole bandpass fil ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
Abstract—In this paper, the fundamental characteristics of a novel third-order RF balanced-to-unbalanced filter, namely, a balun filter, for integrated RF module applications are pre-sented. This center-tapped transformer-based new device works concurrently as a balun, an extracted-pole bandpass
Next 10 →
Results 1 - 10 of 180
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University