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Browsing MIT Open Access Articles by Title
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(American Chemical Society, 2011-06)Inspired by the simplicity and versatility of layer-by-layer (LbL) assembly, we applied multilayered polyelectrolyte assemblies on nanoparticles to create viable systemic delivery systems. Focusing on tumor-specific delivery, ...
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(Association for Computing Machinery / ACM SIGGRAPH, 2011-08)We develop tomographic techniques for image synthesis on displays composed of compact volumes of light-attenuating material. Such volumetric attenuators recreate a 4D light field or high-contrast 2D image when illuminated ...
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(Institute of Electrical and Electronics Engineers, 2009-07)To obtain perception abilities, conventional methods independently detect static and dynamic obstacles, and estimate their related information, which is not quite reliable and computationally heavy. We propose a fusion-based ...
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(Elsevier B.V., 2009-05)The history of the oceanic anthropogenic lead (Pb) transient in the North Atlantic Ocean for the past 220 yr is documented here from measurements of Pb concentration and isotope ratios from annually-banded corals that grew ...
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(Spring Berlin/Heidelberg, 2011-01)The ability to collectively toss a common coin among n parties in the presence of faults is an important primitive in the arsenal of randomized distributed protocols. In the case of dishonest majority, it was shown to ...
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(American Meteorological Society, 2013-10)An effective boundary condition is derived for the top of the troposphere, based on a wave radiation condition at the tropopause. This boundary condition, which can be formulated as a pseudodifferential equation, leads to ...
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(Association for Computing Machinery (ACM), 2013-07)We introduce Leaplist, a concurrent data-structure that is tailored to provide linearizable range queries. A lookup in Leaplist takes O (log n) and is comparable to a balanced binary search tree or to a Skiplist. However, ...
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(Springer, 2014-02)Most people participate in meetings almost every day, multiple times a day. The study of meetings is important, but also challenging, as it requires an understanding of social signals and complex interpersonal dynamics. ...
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(Institute of Electrical and Electronics Engineers, 2010-06)In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical deformable template (HDT). The HDT represents ...
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(Springer-Verlag, 2011-06)In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a low-dimensional embedding space derived from ...
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(Frontiers Research Foundation, 2012-06)Learning by temporal association rules such as Foldiak's trace rule is an attractive hypothesis that explains the development of invariance in visual recognition. Consistent with these rules, several recent experiments ...
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(Public Library of Science, 2013-01)Recovering discrete words from continuous speech is one of the first challenges facing language learners. Infants and adults can make use of the statistical structure of utterances to learn the forms of words from unsegmented ...
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(MIT Press, 2009-08)In this paper, we present an automated approach to discover patterns that can distinguish between sequences belonging to different labeled groups. Our method searches for approximately conserved motifs that occur with ...
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(Association for Computing Machinery (ACM), 2013-12)Obtaining a compact and discriminative representation of facial and body expressions is a difficult problem in emotion recognition. Part of the difficulty is capturing microexpressions, i.e., short, involuntary expressions ...
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(American Psychological Association, 2011-01)The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate ...
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(Society for Artificial Intelligence and Statistics, 2010-05)We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference problem where the variables specify ...
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(Association for Computing Machinery, 2009-01)We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus meaning representations. We develop an algorithm ...
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Learning covariance dynamics for path planning of UAV sensors in a large-scale dynamic environment (American Institute of Aeronautics and Astronautics, 2009-08)This work addresses the problem of trajectory planning for UAV sensors taking measurements of a large nonlinear system to improve estimation and prediction of such a system. The lack of perfect knowledge of the global ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2009-08)The fusion of multimodal sensor information often requires learning decision rules from samples of high-dimensional data. Each data dimension may only be weakly informative for the detection problem of interest. Also, it ...
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(Society for Industrial and Applied Mathematics, 2013-01)We develop polynomial-time online algorithms for learning disjunctions while trading off between the number of mistakes and the number of “I don't know” answers. In this model, we are given an online adversarial sequence ...
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