We investigate the application of Support Vector Machines (SVMs) in computer vision. SVM is a learning technique developed by V. Vapnik and his team (AT&T Bell Labs.) that can be seen as a new method for training polynomial, neural network, or Radial Basis Functions classifiers. The decision

for use in learning algorithms whose optimal solutions are guaranteed only for Mercer kernels. We demonstrate our algorithm on object recognition tasks and show it to be accurate and dramatically faster than current approaches.

exican Government’s Banks offer loan guarantees to private banks in order to spur credit directed to non-financial small and medium sized firms and this policy is examined here. Application of representative data to the comparative static analysis of the guarantee-use decision suggests

An increasing number of high performance internetworking protocol routers, LAN and asynchronous transfer mode (ATM) switches use a switched backplane based on a crossbar switch. Most often, these systems use input queues to hold packets waiting to traverse the switching fabric. It is well known

Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datasets, Precision-Recall (PR) curves give a more informative picture of an algorithm’s performance. We show that a deep

introduce the idea of “guaranteed visibility”, where highlighted areas are treated as landmarks that must remain visually apparent at all times. We propose a new methodology for detailed structural comparison between two trees and provide a new nearly-linear algorithm for computing the best corresponding

detection on evicted blocks and fast commit (using lazy cleanup). Second, LogTM handles aborts in (library) software with little performance penalty. Evaluations running micro- and SPLASH-2 benchmarks on a 32way multiprocessor support our decision to optimize for commit by showing that only 1

simple, yet powerful coordination service. The ZooKeeper interface enables a high-performance service implementation. In addition to the wait-free property, ZooKeeper provides a per client guarantee of FIFO execution of requests and linearizability for all requests that change the ZooKeeper state

This paper describes the output of the PERMIS project, which has developed a role based access control infrastructure that uses X.509 attribute certificates (ACs) to store the users’ roles. All access control decisions are driven by an authorization policy, which is itself stored in an X.509

forj-- i to 100 do A[i, j+ 11 = A[100,j] There has been extensive study of decision methods for array data dependences [1, 2, 5, 6, 8, 15, 18, 25]. Much of this work has focused on approximate methods that are guaranteed to be fast but only com-pute exact results in (commonly occurring) special cases