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» Learning Generic Prior Models for Visual Computation
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EMNLP
2009
14 years 7 months ago
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
Qiuye Zhao, Mitch Marcus
73
Voted
CHI
2004
ACM
15 years 10 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai
MM
2004
ACM
178views Multimedia» more  MM 2004»
15 years 3 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
ICPR
2008
IEEE
15 years 11 months ago
Evolving boundary detectors for natural images via Genetic Programming
Boundary detection constitutes a crucial step in many computer vision tasks. We present a novel learning approach to automatically construct a boundary detector for natural images...
Ilan Kadar, Moshe Sipper, Ohad Ben-Shahar
VIZSEC
2004
Springer
15 years 3 months ago
User re-authentication via mouse movements
We present an approach to user re-authentication based on the data collected from the computer’s mouse device. Our underlying hypothesis is that one can successfully model user ...
Maja Pusara, Carla E. Brodley