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» Learning with Temporary Memory
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PKAW
2010
13 years 5 months ago
MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...
Umer Fareed, Byoung-Tak Zhang
CVPR
2009
IEEE
15 years 2 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
DCOSS
2006
Springer
13 years 10 months ago
Y-Threads: Supporting Concurrency in Wireless Sensor Networks
Abstract. Resource constrained systems often are programmed using an eventbased model. Many applications do not lend themselves well to an event-based approach, but preemptive mult...
Christopher Nitta, Raju Pandey, Yann Ramin
COLT
1994
Springer
13 years 10 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 9 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray