Browsing CBCL Memos (1993 - 2004) by Subject "AI"
Now showing items 1-20 of 64
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Active Learning with Statistical Models
(1995-03-21)For many types of learners one can compute the statistically 'optimal' way to select data. We review how these techniques have been used with feedforward neural networks. We then show how the same principles may be ... -
The Audiomomma Music Recommendation System
(2001-07-01)We design and implement a system that recommends musicians to listeners. The basic idea is to keep track of what artists a user listens to, to find other users with similar tastes, and to recommend other artists that these ... -
Bagging Regularizes
(2002-03-01)Intuitively, we expect that averaging --- or bagging --- different regressors with low correlation should smooth their behavior and be somewhat similar to regularization. In this note we make this intuition precise. ... -
A Biological Model of Object Recognition with Feature Learning
(2003-06-01)Previous biological models of object recognition in cortex have been evaluated using idealized scenes and have hard-coded features, such as the HMAX model by Riesenhuber and Poggio [10]. Because HMAX uses the same set ... -
Biologically Plausible Neural Circuits for Realization of Maximum Operations
(2001-09-01)Object recognition in the visual cortex is based on a hierarchical architecture, in which specialized brain regions along the ventral pathway extract object features of increasing levels of complexity, accompanied by greater ... -
Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions
(2002-08-01)The visual recognition of complex movements and actions is crucial for communication and survival in many species. Remarkable sensitivity and robustness of biological motion perception have been demonstrated in ... -
Categorization in IT and PFC: Model and Experiments
(2002-04-18)In a recent experiment, Freedman et al. recorded from inferotemporal (IT) and prefrontal cortices (PFC) of monkeys performing a "cat/dog" categorization task (Freedman 2001 and Freedman, Riesenhuber, Poggio, Miller ... -
Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
(1996-12-01)The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special ... -
Component based recognition of objects in an office environment
(2003-11-28)We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity ... -
Contextual Priming for Object Detection
(2001-09-01)There is general consensus that context can be a rich source of information about an object's identity, location and scale. In fact, the structure of many real-world scenes is governed by strong configurational rules akin ... -
Cooperative Physics of Fly Swarms: An Emergent Behavior
(1995-04-11)We have simulated the behavior of several artificial flies, interacting visually with each other. Each fly is described by a simple tracking system (Poggio and Reichardt, 1973; Land and Collett, 1974) which summarizes ... -
A Detailed Look at Scale and Translation Invariance in a Hierarchical Neural Model of Visual Object Recognition
(2002-08-01)The HMAX model has recently been proposed by Riesenhuber & Poggio as a hierarchical model of position- and size-invariant object recognition in visual cortex. It has also turned out to model successfully a number of ... -
Detecting Faces in Impoverished Images
(2001-11-05)The ability to detect faces in images is of critical ecological significance. It is a pre-requisite for other important face perception tasks such as person identification, gender classification and affect analysis. Here ... -
Direction Estimation of Pedestrian from Images
(2003-08-27)The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots. We introduce an approach for estimating the walking direction of people ... -
Dissociated Dipoles: Image representation via non-local comparisons
(2003-08-13)A fundamental question in visual neuroscience is how to represent image structure. The most common representational schemes rely on differential operators that compare adjacent image regions. While well-suited to encoding ... -
Evaluation of sets of oriented and non-oriented receptive fields as local descriptors
(2004-03-24)Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. We propose a performance criterion for a ... -
Exact Solution of the Nonlinear Dynamics of Recurrent Neural Mechanisms for Direction Selectivity
(2002-08-01)Different theoretical models have tried to investigate the feasibility of recurrent neural mechanisms for achieving direction selectivity in the visual cortex. The mathematical analysis of such models has been restricted ... -
Experimental Markets for Product Concepts
(2001-07-01)Market prices are well known to efficiently collect and aggregate diverse information regarding the value of commodities and assets. The role of markets has been particularly suitable to pricing financial securities. This ... -
Face processing in humans is compatible with a simple shape-based model of vision
(2004-03-05)Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ... -
Face Representation in Cortex: Studies Using a Simple and Not So Special Model
(2003-06-05)The face inversion effect has been widely documented as an effect of the uniqueness of face processing. Using a computational model, we show that the face inversion effect is a byproduct of expertise with respect to the ...