Results 1  10
of
6,631
A Hierarchical Internet Object Cache
 IN PROCEEDINGS OF THE 1996 USENIX TECHNICAL CONFERENCE
, 1995
"... This paper discusses the design andperformance of a hierarchical proxycache designed to make Internet information systems scale better. The design was motivated by our earlier tracedriven simulation study of Internet traffic. We believe that the conventional wisdom, that the benefits of hierarch ..."
Abstract

Cited by 496 (6 self)
 Add to MetaCart
of magnitude under concurrent load. These measurements indicate that hierarchy does not measurably increase access latency. Our software can also be configured as a Webserver accelerator; we present data that our httpdaccelerator is ten times faster than Netscape's Netsite and NCSA 1.4 servers. Finally
Shape Matching and Object Recognition Using Shape Contexts
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2001
"... We present a novel approach to measuring similarity between shapes and exploit it for object recognition. In our framework, the measurement of similarity is preceded by (1) solv ing for correspondences between points on the two shapes, (2) using the correspondences to estimate an aligning transform ..."
Abstract

Cited by 1809 (21 self)
 Add to MetaCart
We present a novel approach to measuring similarity between shapes and exploit it for object recognition. In our framework, the measurement of similarity is preceded by (1) solv ing for correspondences between points on the two shapes, (2) using the correspondences to estimate an aligning
The Coordination of Arm Movements: An Experimentally Confirmed Mathematical Model
 Journal of neuroscience
, 1985
"... This paper presents studies of the coordination of voluntary human arm movements. A mathematical model is formulated which is shown to predict both the qualitative features and the quantitative details observed experimentally in planar, multijoint arm movements. Coordination is modeled mathematic ..."
Abstract

Cited by 688 (18 self)
 Add to MetaCart
mathematically by defining an objective function, a measure of performance for any possible movement. The unique trajectory which yields the best performance is determined using dynamic optimization theory. In the work presented here, the objective function is the square of the magnitude of jerk (rate
Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
, 2004
"... Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear m ..."
Abstract

Cited by 1513 (20 self)
 Add to MetaCart
Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear
Pegasos: Primal Estimated subgradient solver for SVM
"... We describe and analyze a simple and effective stochastic subgradient descent algorithm for solving the optimization problem cast by Support Vector Machines (SVM). We prove that the number of iterations required to obtain a solution of accuracy ɛ is Õ(1/ɛ), where each iteration operates on a singl ..."
Abstract

Cited by 542 (20 self)
 Add to MetaCart
linear kernels while working solely on the primal objective function, though in this case the runtime does depend linearly on the training set size. Our algorithm is particularly well suited for large text classification problems, where we demonstrate an orderofmagnitude speedup over previous SVM learning
Combined Object Categorization and Segmentation With An Implicit Shape Model
 In ECCV workshop on statistical learning in computer vision
, 2004
"... We present a method for object categorization in realworld scenes. Following a common consensus in the field, we do not assume that a figureground segmentation is available prior to recognition. However, in contrast to most standard approaches for object class recognition, our approach automatical ..."
Abstract

Cited by 406 (10 self)
 Add to MetaCart
needing one order of magnitude less training examples. Finally, we present results for articulated objects, which show that the proposed method can categorize and segment unfamiliar objects in different articulations and with widely varying texture patterns, even under significant partial occlusion.
The Determinants of Credit Spread Changes.
 Journal of Finance
, 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract

Cited by 422 (2 self)
 Add to MetaCart
the probability of default. Changes in the Probability or Magnitude of a Downward Jump in Firm Value Implied volatility smiles in observed option prices suggest that markets account for the probability of large negative jumps in firm value. Thus, increases in either the probability or the magnitude of a negative
On feature combination for multiclass object classification
 IN ICCV
"... A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intraclass variations. While this is a necessity in order to generalize beyond a given set of training images, it is also a very difficult problem du ..."
Abstract

Cited by 259 (5 self)
 Add to MetaCart
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intraclass variations. While this is a necessity in order to generalize beyond a given set of training images, it is also a very difficult problem
Seam carving for contentaware image resizing
 ACM Trans. Graph
, 2007
"... Figure 1: A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical seam. In the middle the energy function used in this example is shown (the magnitude of the gradient), along with the vertical and horizontal path maps used t ..."
Abstract

Cited by 323 (11 self)
 Add to MetaCart
Figure 1: A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical seam. In the middle the energy function used in this example is shown (the magnitude of the gradient), along with the vertical and horizontal path maps used
Macroeconomic Policy in a TwoParty System as a Repeated Game”, The Quarterly
 Journal of Economics, CII
, 1987
"... This paper considers the interaction of two parties with different objectives concerning inflation and unemployment and rational and forwardlooking wagesetters. If discretionary policies are followed, an economic cycle related to the political cycle results in equilibrium. This cycle is significan ..."
Abstract

Cited by 301 (7 self)
 Add to MetaCart
This paper considers the interaction of two parties with different objectives concerning inflation and unemployment and rational and forwardlooking wagesetters. If discretionary policies are followed, an economic cycle related to the political cycle results in equilibrium. This cycle
Results 1  10
of
6,631