Yair Weiss

Yair Weiss is Senior Lecturer in the School of Computer Science and Engineering at The Hebrew University of Jerusalem.

  • Advances in Neural Information Processing Systems 17

    Advances in Neural Information Processing Systems 17

    Proceedings of the 2004 Conference

    Lawrence K. Saul, Yair Weiss, and Léon Bottou

    Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.

    The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees—physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.

    • Hardcover $21.75 £16.95


  • Markov Random Fields for Vision and Image Processing

    Markov Random Fields for Vision and Image Processing

    Andrew Blake, Pushmeet Kohli, and Carsten Rother

    State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.

    This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications.

    After an introduction to the fundamental concepts used in MRFs, the book reviews some of the main algorithms for performing inference with MRFs; presents successful applications of MRFs, including segmentation, super-resolution, and image restoration, along with a comparison of various optimization methods; discusses advanced algorithmic topics; addresses limitations of the strong locality assumptions in the MRFs discussed in earlier chapters; and showcases applications that use MRFs in more complex ways, as components in bigger systems or with multiterm energy functions. The book will be an essential guide to current research on these powerful mathematical tools.

    • Hardcover $70.00 £54.00