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» On the Execution of Deep Models
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ICML
2010
IEEE
13 years 8 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
AGI
2011
12 years 11 months ago
Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network
Human intelligence consists largely of the ability to recognize and exploit structural systematicity in the world, relating our senses simultaneously to each other and to our cogni...
Derek Monner, James A. Reggia
ANCS
2006
ACM
13 years 11 months ago
Efficient memory utilization on network processors for deep packet inspection
Deep Packet Inspection (DPI) refers to examining both packet header and payload to look for predefined patterns, which is essential for network security, intrusion detection and c...
Piti Piyachon, Yan Luo
ICCAD
2002
IEEE
76views Hardware» more  ICCAD 2002»
14 years 4 months ago
WTA: waveform-based timing analysis for deep submicron circuits
Existing static timing analyzers make several assumptions about circuits, implicitly trading off accuracy for speed. In this paper we examine the validity of these assumptions, no...
Larry McMurchie, Carl Sechen
BILDMED
2008
151views Algorithms» more  BILDMED 2008»
13 years 8 months ago
Creating a Vision Channel for Observing Deep-Seated Anatomy in Medical Augmented Reality
The intent of medical Augmented Reality (AR) is to augment the surgeon's real view on the patient with the patient's interior anatomy resulting from a suitable visualizat...
Felix Wimmer, Christoph Bichlmeier, Sandro Michael...