Št. zadetkov: 30
Video in druga učna gradiva
Oznake:
medicine;neuroscience;computer science;machine learning;pattern recognition
Brain-computer interfaces (BCIs) use brain signals to convey a user's intent. Some BCI approaches begin by decoding kinematic parameters of movements from brain signals, and then proceed to using these signals, in absence of movements, to allow a user to control an output. Recent results have shown ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision;face & gesture analysis
Leto:
2015
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;structured data;network analysis
Methods for L1-type regularization have been widely used in Gaussian graphical model selection tasks to encourage sparse structures. However, often we would like to include more structural information than mere sparsity. In this work, we focus on learning so-called
"scale-free" models, a common feat ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;pattern recognition
Sensors provide computer systems with a window to the outside world. Activity recognition "sees" what is in the window to predict the locations, trajectories, actions, goals and plans of humans and objects. Building an activity recognition system requires a full range of interaction from statistical ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;applications;computer vision;shape analysis
Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and the study of this valued cultural resource has implications even beyond anthropology and history. Surprisingly, although image processing, informatio ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;social content
Online recommendation systems are becoming
more and more popular with the development of
web. Data sparseness is a major problem for collaborative filtering (CF) techniques in recommender
systems, especially for new users and items. In
this paper, we try to reduce the data sparseness
in the collabora ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;recommender systems;social sciences;economics;marketing
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;information retrieval;machine learning;supervised learning
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
We study the problem of estimating continuous quantities, such as prices, probabilities, and point spreads, using a crowdsourcing approach. A challenging aspect of combining the crowd's answers is that workers' reliabilities and biases are usually unknown and highly diverse. Control items with known ...
Leto:
2014
Vir:
videolectures.net