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SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
14 years 3 months ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
CVPR
2008
IEEE
14 years 4 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang
AIME
2005
Springer
14 years 3 months ago
Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure
Sketching is ubiquitous in medicine. Physicians commonly use sketches as part of their note taking in patient records and to help convey diagnoses and treatments to patients. Medic...
Peter Haddawy, Matthew N. Dailey, Ploen Kaewruen, ...
IPM
2006
132views more  IPM 2006»
13 years 10 months ago
A framework for understanding Latent Semantic Indexing (LSI) performance
In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval applications. Many models for understanding L...
April Kontostathis, William M. Pottenger
EUROGP
2005
Springer
14 years 3 months ago
Understanding Evolved Genetic Programs for a Real World Object Detection Problem
We describe an approach to understanding evolved programs for a real world object detection problem, that of finding orthodontic landmarks in cranio-facial X-Rays. The approach in...
Victor Ciesielski, Andrew Innes, Sabu John, John M...