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DAC
2009
ACM
16 years 8 months ago
Fault models for embedded-DRAM macros
In this paper, we compare embedded-DRAM (eDRAM) testing to both SRAM testing and commodity-DRAM testing, since an eDRAM macro uses DRAM cells with an SRAM interface. We first star...
Ching-Yu Chin, Hao-Yu Yang, Mango Chia-Tso Chao, R...
DAC
2003
ACM
16 years 7 months ago
Seed encoding with LFSRs and cellular automata
Reseeding is used to improve fault coverage of pseudorandom testing. The seed corresponds to the initial state of the PRPG before filling the scan chain. In this paper, we present...
Ahmad A. Al-Yamani, Edward J. McCluskey
MICCAI
2007
Springer
16 years 7 months ago
Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery
Abstract. Surgeons need a robust interventional system capable of providing reliable, real-time information regarding the position and orientation of the surgical targets and tools...
Cristian A. Linte, Marcin Wierzbicki, John Moore, ...
ICML
2009
IEEE
16 years 7 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
ICML
2008
IEEE
16 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray