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922views
16 years 10 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
ICML
2008
IEEE
16 years 4 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
120
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ICCD
2008
IEEE
111views Hardware» more  ICCD 2008»
16 years 10 days ago
Test-access mechanism optimization for core-based three-dimensional SOCs
— Test-access mechanisms (TAMs) and test wrappers (e.g., the IEEE Standard 1500 wrapper) facilitate the modular testing of embedded cores in a core-based system-on-chip (SOC). Su...
Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yua...
ICCAD
2002
IEEE
106views Hardware» more  ICCAD 2002»
16 years 8 days ago
Throughput-driven IC communication fabric synthesis
As the scale of system integration continues to grow, the on-chip communication becomes the ultimate bottleneck of system performance and the primary determinant of system archite...
Tao Lin, Lawrence T. Pileggi
ICS
2009
Tsinghua U.
15 years 10 months ago
Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems
We describe heterogeneous multi-CPU and multi-GPU implementations of Jacobi’s iterative method for the 2-D Poisson equation on a structured grid, in both single- and doublepreci...
Sundaresan Venkatasubramanian, Richard W. Vuduc