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Discriminative Improvements to Distributional Sentence Similarity
Discriminative Improvements to Distributional Sentence Similarity

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eref Saglroglu Intelligent Systems Research Group, Contra

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... In general, the effectiveness of the proposed method is quite good with precision being higher than 86%, and the recall being approximately 50%, as denoted in Table 1. Clearly, the markers generating progress plays a very important role in the proposed method, since it defines the precision rate. Wi ...
The 2004 Mobile Robot Competition and Exhibition
The 2004 Mobile Robot Competition and Exhibition

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Electrophysiology in Vision How VEP and ERG Can Impact Your

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Is perception informationally encapsulated? The issue of the theory-ladenness of perception

A Case-Based Approach To Imitation Learning in Robotic Agents
A Case-Based Approach To Imitation Learning in Robotic Agents

... imitation. We refer to interpretation as a task that labels a skill demonstration based on case memory, and imitation as a task which retrieves and adapts a source case demonstration to accomplish a goal. While a skill model learned over a set of demonstrations can cover a limited range of variation ...
Using Natural Image Priors
Using Natural Image Priors

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Perception of three-dimensional structure from motion

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primary visual cortex and visual awareness

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Soarian™ User Interface

Multiplication and stimulus invariance in a looming
Multiplication and stimulus invariance in a looming

... corresponding to approaches lasting between 0.5 and 6 s for objects sizes ranging between 12 and 28 cm at approach speeds between 2 and 10 m/s (see [19, Table 1]). As the looming parameter l=jvj is varied over one order of magnitude (5–50 ms), the overall time-course of the LGMD’s firing rate remains ...
5. Third year activities - LIRA-Lab
5. Third year activities - LIRA-Lab

Attention maps in the brain - Site BU
Attention maps in the brain - Site BU

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Visual servoing

Visual servoing, also known as vision-based robot control and abbreviated VS, is a technique which uses feedback information extracted from a vision sensor (visual feedback) to control the motion of a robot. One of the earliest papers that talks about visual servoing was from the SRI International Labs in 1979.
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