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Now showing items 1-10 of 23
Experimental Results Indicate that Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
(University of Wisconsin-Madison Department of Computer Sciences, 1988)
Globally Dense (d,k) Graphs for Computer Network Architectures
(University of Wisconsin-Madison Department of Computer Sciences, 1980)
Locally versus Globally Dense Graphs for Computer Networks
(University of Wisconsin-Madison Department of Computer Sciences, 1981)
A Network of Neuron-Like Units That Learns to Perceive by Generation as Well as Reweighting of its Links
(University of Wisconsin-Madison Department of Computer Sciences, 1988)
Pyramid Vision Using Key Features to Integrate Image-Driven Bottom-Up and Model-Driven Top-Down Processes
(University of Wisconsin-Madison Department of Computer Sciences, 1986)
Parallel, Hierarchical Software/Hardware Pyramid Architectures
(University of Wisconsin-Madison Department of Computer Sciences, 1986)
Compounding Denser (d,k) Graph Architectures for Computer Networks
(University of Wisconsin-Madison Department of Computer Sciences, 1981)
Network and Array Architectures for Real-Time Perception
(University of Wisconsin-Madison Department of Computer Sciences, 1981)
Feasible Multi-Computer Architectures, Given 3-Dimensional Stacked Wafers
(University of Wisconsin-Madison Department of Computer Sciences, 1983)
The Several Steps from Icon to Symbol, Using Structured Cone/Pyramids
(University of Wisconsin-Madison Department of Computer Sciences, 1982)










