We consider the problem of off-line throughput maximization for job scheduling on one or more machines, where each job has a release time, a deadline and a profit. Most of the ver...
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...
A scalable video coder cannot be equally efficient over a wide range of bit-rates unless both the video data and the motion information are scalable. We propose a wavelet-based, h...
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...