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AAAI
2011
12 years 8 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
AUTOMATICA
2006
80views more  AUTOMATICA 2006»
13 years 8 months ago
State estimation over packet dropping networks using multiple description coding
For state estimation over a communication network, efficiency and reliability of the network are critical issues. The presence of packet dropping and communication delay can great...
Zhipu Jin, Vijay Gupta, Richard M. Murray
ICMCS
2010
IEEE
178views Multimedia» more  ICMCS 2010»
13 years 9 months ago
Optimal configuration of hash table based multimedia fingerprint databases using weak bits
The increasingly large amount of digital multimedia content has created a need for technologies to search and identify multimedia files. Multimedia fingerprinting has been widely ...
Claus Bauer, Regunathan Radhakrishnan, Wenyu Jiang
NIPS
2001
13 years 9 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
ESWA
2007
96views more  ESWA 2007»
13 years 8 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...