CoRR, June 2010
, Qun Wan
: Anti-Measurement Matrix Uncertainty for Robust Sparse Signal Recovery with The Mixed l2 and l1 Norms Constraint.
: Ivan Franko's novel Dlja domashnjoho ohnyshcha (For the Hearth) in the light of the frequency dictionary.
, Martin Bossert
: A Fast Generalized Minimum Distance Decoder for Reed-Solomon Codes Based on the Extended Euclidean Algorithm.
: Impact of Parameter Variations on the Performance of a Concurrent SDMA MIMO-MAC.
Paul J. Werbos
: Brain-Like Stochastic Search: A Research Challenge and Funding Opportunity.
: A domain-theoretic investigation of posets of sub-sigma-algebras (extended abstract). 19-28
: The descriptive set-theoretic complexity of the set of points of continuity of a multi-valued function (Extended Abstract). 92-100
: A Local to Global Principle for the Complexity of Riemann Mappings (Extended Abstract). 120-129
: Computational Complexity of Iterated Maps on the Interval (Extended Abstract). 139-150
, Raazesh Sainudiin
: A Rigorous Extension of the Schönhage-Strassen Integer Multiplication Algorithm Using Complex Interval Arithmetic. 151-159
: Complete Multi-Representations of Sets in a Computable Measure Space. 160-166
, Yann LeCun
: Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields.
: EXIT Chart Approximations using the Role Model Approach.
: Impossibility of independence amplification in Kolmogorov complexity theory.
Mahmoud I. A. Abdalla
: Treatment the Effects of Studio Wall Resonance and Coincidence Phenomena for Recording Noisy Speech Via FPGA Digital Filter.
, Chi Zhou
: Improving GPS Precision and Processing Time using Parallel and Reduced-Length Wiener Filters.
: An Interactive Zoo Guide: A Case Study of Collaborative Learning.
: Developing E-Learning Materials for Software Development Course.
: Expressiveness of a Provenance-Enabled Authorization Logic.
, Moe Z. Win
: Fundamental Limits of Wideband Localization - Part I: A General Framework.
, Borut Peterlin
: Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data.
: Shannon Revisited: Considering a More Tractable Expression to Measure and Manage Intractability, Uncertainty, Risk, Ignorance, and Entropy.
: Predictive PAC learnability: a paradigm for learning from exchangeable input data.