Volume 48, Numbers 1-2, August 2007
Special Issue:
Machine Learning for Signal Processing. Guest Editors:
David J. Miller and Deniz Erdogmus.
- David J. Miller, Deniz Erdogmus:
Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing.
1-3
- Yijun Sun, Sinisa Todorovic, Jian Li:
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework.
5-20
- Siddharth Pal, David J. Miller:
An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification.
21-37
- Tian Lan, Deniz Erdogmus:
Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis.
39-52
- Manuel Ortega-Moral, D. Gutiérrez-González, M. L. De-Pablo, Jesús Cid-Sueiro:
Training Classifiers for Tree-structured Categories with Partially Labeled Data.
53-65
- Martin I. Layton, Mark J. F. Gales:
Acoustic Modelling Using Continuous Rational Kernels.
67-82
- Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki:
Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
83-97
- Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara:
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain.
99-108
- Milind Borkar, Volkan Cevher, James H. McClellan:
Decentralized State Initialization with Delay Compensation for Multi-modal Sensor Networks.
109-125
- Luis M. San-José-Revuelta:
Hypotheses Control-based Strategies for the Development of Near-optimum Bayesian Detectors for CDMA Systems.
127-141
- Scott C. Douglas, Jih-Cheng Chao:
Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function.
143-159
- Moritz Grosse-Wentrup, Martin Buss:
Overcomplete Independent Component Analysis via Linearly Constrained Minimum Variance Spatial Filtering.
161-171
- N. Nicolaou, Slawomir J. Nasuto:
Automatic Artefact Removal from Event-related Potentials via Clustering.
173-183
Volume 48, Number 3, September 2007
Special Issue:
Computing Architectures for BioInformatics. Guest Editors:
Feng Lin, Heiko Schröder and Bertil Schmidt
- Feng Lin, Heiko Schröder, Bertil Schmidt:
Solving the Bottleneck Problem in Bioinformatics Computing: An Architectural Perspective.
185-188
- Euripides Sotiriades, Apostolos Dollas:
A General Reconfigurable Architecture for the BLAST Algorithm.
189-208
- Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig:
Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics.
209-221
- John 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.
223-238
- Maria Stepanova, Feng Lin, Valerie C.-L. Lin:
A Hopfield Neural Classifier and Its FPGA Implementation for Identification of Symmetrically Structured DNA Motifs.
239-254
- Dominique Lavenier, Gilles Georges, Xinchun Liu:
A Reconfigurable Index FLASH Memory tailored to Seed-Based Genomic Sequence Comparison Algorithms.
255-269
- Alexandros Stamatakis, Filip Blagojevic, Dimitrios S. Nikolopoulos, Christos D. Antonopoulos:
Exploring New Search Algorithms and Hardware for Phylogenetics: RAxML Meets the IBM Cell.
271-286
- Yoshiki Yamaguchi, Tsutomu Maruyama, Ryuzo Azuma, Moritoshi Yasunaga, Akihiko Konagaya:
Mesoscopic-level Simulation of Dynamics and Interactions of Biological Molecules Using Monte Carlo Simulation.
287-299
- Chunxi Chen, Jagath C. Rajapakse:
Grid-Enabled BLASTZ: Application to Comparative Genomics.
301-309
- Frank Zhigang Wang, Na Helian, Sining Wu, Yuhui Deng, Vineet R. Khare, Chris Thompson:
Grid-Based Storage Architecture for Accelerating Bioinformatics Computing.
311-324
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