MIT Libraries homeMIT Libraries logoDSpace@MIT

MIT
Search 
  • DSpace@MIT Home
  • Center for Brains, Minds & Machines
  • Search
  • DSpace@MIT Home
  • Center for Brains, Minds & Machines
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filters

Use filters to refine the search results.

Now showing items 1-10 of 122

  • Sort Options:
  • Relevance
  • Title Asc
  • Title Desc
  • Issue Date Asc
  • Issue Date Desc
  • Results Per Page:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

Reconstructing Native Language Typology from Foreign Language Usage 

Berzak, Yevgeni; Reichart, Roi; Katz, Boris (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for ...
Thumbnail

Robust Estimation of 3D Human Poses from a Single Image 

Wang, Chunyu; Wang, Yizhou; Lin, Zhouchen; Yuille, Alan L.; Gao, Wen (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-06-10)
Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector. 3D pose estimation is ...
Thumbnail

The Secrets of Salient Object Segmentation 

Li, Yin; Hou, Xiaodi; Koch, Christof; Rehg, James M.; Yuille, Alan L. (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-06-13)
In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our analysis identifies serious design flaws of existing salient ...
Thumbnail

Abstracts of the 2014 Brains, Minds, and Machines Summer School 

Amir, Nadav; Besold, Tarek R.; Camoriano, Rafaello; Erdogan, Goker; Flynn, Thomas; e.a. (Center for Brains, Minds and Machines (CBMM), 2014-09-26)
A compilation of abstracts from the student projects of the 2014 Brains, Minds, and Machines Summer School, held at Woods Hole Marine Biological Lab, May 29 - June 12, 2014.
Thumbnail

On Invariance and Selectivity in Representation Learning 

Anselmi, Fabio; Rosasco, Lorenzo; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-03-23)
We discuss data representation which can be learned automatically from data, are invariant to transformations, and at the same time selective, in the sense that two points have the same representation only if they are one ...
Thumbnail

Towards a Programmer’s Apprentice (Again) 

Shrobe, Howard; Katz, Boris; Davis, Randall (Center for Brains, Minds and Machines (CBMM), 2015-04-03)
Programmers are loathe to interrupt their workflow to document their design rationale, leading to frequent errors when software is modified—often much later and by different programmers. A Pro- grammer’s Assistant could ...
Thumbnail

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) 

Mao, Junhua; Xu, Wei; Yang, Yi; Wang, Jiang; Huang, Zhiheng; e.a. (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-05-07)
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. It directly models the probability distribution of generating a word given previous words and an image. ...
Thumbnail

Seeing What You’re Told: Sentence-Guided Activity Recognition In Video 

Siddharth, Narayanaswamy; Barbu, Andrei; Siskind, Jeffrey Mark (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-05-29)
We present a system that demonstrates how the compositional structure of events, in concert with the compositional structure of language, can interplay with the underlying focusing mechanisms in video action recognition, ...
Thumbnail

Sensitivity to Timing and Order in Human Visual Cortex. 

Singer, Jedediah M.; Madsen, Joseph R.; Anderson, William S.; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
Visual recognition takes a small fraction of a second and relies on the cascade of signals along the ventral visual stream. Given the rapid path through multiple processing steps between photoreceptors and higher visual ...
Thumbnail

The Compositional Nature of Event Representations in the Human Brain 

Barbu, Andrei; Narayanaswamy, Siddharth; Xiong, Caiming; Corso, Jason J.; Fellbaum, Christiane D.; e.a. (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-07-14)
How does the human brain represent simple compositions of constituents: actors, verbs, objects, directions, and locations? Subjects viewed videos during neuroimaging (fMRI) sessions from which sentential descriptions of ...
  • 1
  • 2
  • 3
  • 4
  • . . .
  • 13

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CommunityBy Issue DateAuthorsTitlesSubjects

My Account

Login

Discover

AuthorPoggio, Tomaso (54)Liao, Qianli (22)Yuille, Alan L. (18)Rosasco, Lorenzo (11)Liao, Qianli (9)Anselmi, Fabio (8)Kreiman, Gabriel (8)Banburski, Andrzej (6)Boix, Xavier (6)Katz, Boris (6)... View MoreSubjectMachine Learning (14)Computer vision (13)Artificial Intelligence (10)Invariance (9)Object Recognition (8)Vision (8)Computer Language (7)Hierarchy (7)Neuroscience (7)i-theory (4)... View MoreDate Issued2014 (23)2017 (20)2018 (20)2015 (18)2016 (16)2020 (14)2019 (7)2021 (3)Has File(s)
Yes (122)

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries homeMIT Libraries logo

Find us on

Twitter Facebook Instagram YouTube RSS

MIT Libraries navigation

SearchHours & locationsBorrow & requestResearch supportAbout us
PrivacyPermissionsAccessibility
MIT
Massachusetts Institute of Technology
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.