Journal: VLSI Signal Processing

Volume 48, Issue 3

185 -- 188Feng Lin, Heiko Schröder, Bertil Schmidt. Solving the Bottleneck Problem in Bioinformatics Computing: An Architectural Perspective
189 -- 208Euripides Sotiriades, Apostolos Dollas. A General Reconfigurable Architecture for the BLAST Algorithm
209 -- 221Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig. Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics
223 -- 238John Paul Walters, Xiandong Meng, Vipin Chaudhary, Timothy F. Oliver, Leow Yuan Yeow, Bertil Schmidt, Darran Nathan, Joseph I. Landman. MPI-HMMER-Boost: Distributed FPGA Acceleration
239 -- 254Maria Stepanova, Feng Lin, Valerie C.-L. Lin. A Hopfield Neural Classifier and Its FPGA Implementation for Identification of Symmetrically Structured DNA Motifs
255 -- 269Dominique Lavenier, Gilles Georges, X. Liu. A Reconfigurable Index FLASH Memory tailored to Seed-Based Genomic Sequence Comparison Algorithms
271 -- 286Alexandros Stamatakis, Filip Blagojevic, Dimitrios S. Nikolopoulos, Christos D. Antonopoulos. Exploring New Search Algorithms and Hardware for Phylogenetics: RAxML Meets the IBM Cell
287 -- 299Yoshiki Yamaguchi, Tsutomu Maruyama, Ryuzo Azuma, Moritoshi Yasunaga, Akihiko Konagaya. Mesoscopic-level Simulation of Dynamics and Interactions of Biological Molecules Using Monte Carlo Simulation
301 -- 309Chunxi Chen, Jagath C. Rajapakse. Grid-Enabled BLASTZ: Application to Comparative Genomics
311 -- 324Frank Zhigang Wang, Na Helian, Sining Wu, Yuhui Deng, Vineet R. Khare, Chris Thompson. Grid-Based Storage Architecture for Accelerating Bioinformatics Computing

Volume 48, Issue 1-2

1 -- 3David J. Miller, Deniz Erdogmus. Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing
5 -- 20Yijun Sun, Sinisa Todorovic, Jian Li. Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework
21 -- 37Siddharth Pal, David J. Miller. An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification
39 -- 52Tian Lan, Deniz Erdogmus. Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis
53 -- 65Manuel Ortega-Moral, D. Gutiérrez-González, M. L. De-Pablo, Jesús Cid-Sueiro. Training Classifiers for Tree-structured Categories with Partially Labeled Data
67 -- 82Martin I. Layton, Mark J. F. Gales. Acoustic Modelling Using Continuous Rational Kernels
83 -- 97Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki. Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy
99 -- 108Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara. Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain
109 -- 125Milind Borkar, Volkan Cevher, James H. McClellan. Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks
127 -- 141Luis M. San-José-Revuelta. Hypotheses Control-based Strategies for the Development of Near-optimum Bayesian Detectors for CDMA Systems
143 -- 159Scott C. Douglas, Jih-Cheng Chao. Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function
161 -- 171Moritz Grosse-Wentrup, Martin Buss. Overcomplete Independent Component Analysis via Linearly Constrained Minimum Variance Spatial Filtering
173 -- 183N. Nicolaou, Slawomir J. Nasuto. Automatic Artefact Removal from Event-related Potentials via Clustering