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Simple Search
Hits 1 – 17 of 17
1
Spatial IQ Test for AI
Hilton, Erwin
;
Liao, Qianli
;
Poggio, Tomaso
. - 2017
Abstract:
We introduce SITD (Spatial IQ Test Dataset), a dataset used to evaluate the capabilities of computational models for pattern recognition and visual reasoning. SITD is a generator of images in the style of the Raven Progressive Matrices (RPM), a common IQ (Intelligence Quotient) test used to test analytical intelligence. RPMs are purely visual, and require little prior knowledge. RPM tests the users ability to derive abstract rules and patterns from a set of images. For the last 100 years, humans have evaluated intelligence us- ing standardized intelligence quotient exams. These tests examine different aspects of intelligence, including verbal, quantitative reasoning, and spatial reasoning ability. In the field of AI, there exists few intelligence established metrics beyond the Turing Test (TT) and the Total Turing Test (TTT). Thus, SITD makes for a useful dataset researchers can use to divide and conquer the task of creating ’intelligent’ machines. ; This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 123 1216.
Keyword:
AI
;
Dataset
;
IQ Test
;
Turing Test
URL:
http://hdl.handle.net/1721.1/113004
BASE
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2
Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing
Tan, Cheston
;
Poggio, Tomaso
. - : Public Library of Science, 2016
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3
Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing
Tan, Cheston
;
Poggio, Tomaso A
In: Public Library of Science (2016)
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4
Neural tuning size is a key factor underlying holistic face processing
Tan, Cheston
;
Poggio, Tomaso
. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2014
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5
Faces as a "Model Category" for Visual Object Recognition
Tan, Cheston
;
Poggio, Tomaso
. - 2013
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6
Learning On-Line from a Few Examples
Poggio, Tomaso
In: DTIC (2009)
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7
Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures
Rifkin, Ryan
;
Bouvrie, Jake
;
Schutte, Ken
. - 2007
BASE
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8
Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures
Rifkin, Ryan
;
Bouvrie, Jake
;
Schutte, Ken
. - 2007
BASE
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9
Trainable Videorealistic Speech Animation
Ezzat, Tony
;
Geiger, Gadi
;
Poggio, Tomaso
In: DTIC (2006)
BASE
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10
General conditions for predictivity in learning theory
Poggio, Tomaso
;
Rifkin, Ryan
;
Mukherjee, Sayan
...
In:
Nature. - London : Macmillan Publishers Limited, part of Springer Nature
428 (2004) 6981, 419-422
BLLDB
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11
High-level learning of early visual tasks
Sinha, Pawan
;
Poggio, Tomaso
In:
Perceptual learning
(Cambridge, Mass, 2002), p. 273-298
MPI für Psycholinguistik
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12
Sparse correlation kernel reconstruction and superresolution
Papageorgiou, Constantine P.
;
Girosi, F.
;
Poggio, Tomaso
In:
Probabilistic models of the brain
(Cambridge, 2002), p. 155-180
MPI für Psycholinguistik
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13
Perceptual learning
Fahle, Manfred
;
Poggio, Tomaso
. - Cambridge, Mass : MIT Press, 2002
MPI für Psycholinguistik
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14
Categorical representation of visual stimuli in the primate prefrontal cortex
Freedman, David J.
;
Riesenhuber, Maximilian
;
Poggio, Tomaso
...
In:
Science. - Washington, DC : AAAS, American Assoc. for the Advancement of Science
291 (2001) 5502, 312-316
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15
Observations on cortical mechanisms for object recognition and learning
Poggio, Tomaso A.
;
Hurlbert, Anya
In:
Large-scale neuronal theories of the brain
(Cambridge, Mass, 1994), p. 153-182
MPI für Psycholinguistik
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16
Computation of motion by real neurons
Grzywacz, Norberto M.
;
Poggio, Tomaso
In:
An introduction to neural and electronic networks
(San Diego, 1990), p. 379-407
MPI für Psycholinguistik
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17
Making machines (and artificial intelligence) see
Hurlbert, Anya
;
Poggio, Tomaso
In:
The artificial intelligence debate
(Cambridge, Mass., 1988), P. 213-240
MPI für Psycholinguistik
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