Sciweavers

MCS
2011
Springer
12 years 11 months ago
Locating coalescing singular values of large two-parameter matrices
Consider a matrix valued function A(x) ∈ Rm×n , m ≥ n, smoothly depending on parameters x ∈ Ω ⊂ R2 , where Ω is simply connected and bounded. We consider a technique t...
Luca Dieci, Maria Grazia Gasparo, Alessandra Papin...
JMLR
2011
117views more  JMLR 2011»
12 years 11 months ago
Parameter Screening and Optimisation for ILP using Designed Experiments
Reports of experiments conducted with an Inductive Logic Programming system rarely describe how specific values of parameters of the system are arrived at when constructing model...
Ashwin Srinivasan, Ganesh Ramakrishnan
CEC
2010
IEEE
12 years 11 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
12 years 11 months ago
Distributed parameter estimation in networks
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
Kamiar Rahnama Rad, Alireza Tahbaz-Salehi
CDC
2010
IEEE
12 years 11 months ago
A "joint+marginal" algorithm for polynomial optimization
Abstract-- We present a new algorithm for solving a polynomial program P based on the recent "joint + marginal" approach of the first author for parametric polynomial opt...
Jean B. Lasserre, Tung Phan Thanh
CVPR
2011
IEEE
13 years 1 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...
IJON
2010
121views more  IJON 2010»
13 years 1 months ago
Sample-dependent graph construction with application to dimensionality reduction
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
Bo Yang, Songcan Chen
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 1 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
ICONIP
2009
13 years 2 months ago
Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
Trust dynamics can be modelled in relation to experiences. Both cognitive and neural models for trust dynamics in relation to experiences are available, but were not yet related or...
S. Waqar Jaffry, Jan Treur
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 2 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich