Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
Many day-to-day tasks require negotiation, mostly under conditions of incomplete information. In particular, the opponent's exact tradeoff between different offers is usually ...
Raz Lin, Sarit Kraus, Jonathan Wilkenfeld, James B...
We consider the randomized consensus protocol of Aspnes and Herlihy for achieving agreement among N asynchronous processes that communicate via read/write shared registers. The alg...
Marta Z. Kwiatkowska, Gethin Norman, Roberto Segal...
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
The cryptosystem recently proposed by Cramer and Shoup [CS98] is a practical public key cryptosystem that is secure against adaptive chosen ciphertext attack provided the Decision...