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Researchers at Carnegie Mellon University have developed an efficient new way to quickly analyze complex geometric models by borrowing a computational approach that made photorealistic anima...
A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Independent component analysis Natural images Neural networks Spatial vision
2015/8/10
The classical receptive fields of simple cells in the visual cortex have been shown to emerge from the statistical properties of natural images by forcing the cell responses to be maximally sparse, i....
Optimization as an analysis tool for human complex decision making
mixed-integer programming nonlinear programming cognitive psychology measurement and performance
2015/7/21
We present a problem class of mixed-integer nonlinear programs (MINLPs) with nonconvex continuous relaxations which stem from economic test scenarios that are used in the analysis of human complex pro...
An Implicit-Explicit Hybrid Scheme for Calculating Complex Unsteady Flows
Implicit-Explicit Hybrid Scheme Calculating Complex Unsteady Flows
2015/7/2
In current practice, unsteady flow simulations for turbomachinery are performed using a dual-time-stepping scheme. This work is motivated by the need to solve the time accurate Navier-Stokes equ...
Discovery of Complex Regulatory Modules from Expression Genetics Data
Biostatistics Computational biology Expression genetics Genetics, Genomics
2014/12/18
Mapping of strongly inherited classical traits have been immensely helpful in understanding many important traits including diseases, yield and immunity. But some of these traits are too complex and a...
Automated Negotiation for Complex Multi-Agent Resource Allocation
Automated Negotiation Bargaining Multi-Agent Systems Resource Allocation
2014/12/18
The problem of constructing and analyzing systems of intelligent, autonomous agents is becoming more and more important. These agents may include people, physical robots, virtual humans, software prog...
Agents for Integrating Distributed Data for Complex Computations
Agents Integrating Distributed Data Complex Computations
2009/7/28
Algorithms for many complex computations assume that all the relevant data are available on a single node of a computer network. In the emerging distributed and networked knowledge environments, datab...
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Complex Motion Models Multi-model Particle Filter
2010/12/14
Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual tracking community. One remained diffi...