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95
Voted
ECML
2003
Springer
15 years 5 months ago
A Two-Level Learning Method for Generalized Multi-instance Problems
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
Nils Weidmann, Eibe Frank, Bernhard Pfahringer
110
Voted
FSE
2003
Springer
123views Cryptology» more  FSE 2003»
15 years 5 months ago
The Security of "One-Block-to-Many" Modes of Operation
In this paper, we investigate the security, in the Luby-Rackoff security paradigm, of blockcipher modes of operation allowing to expand a one-block input into a longer t-block ou...
Henri Gilbert
PAAMS
2010
Springer
15 years 5 months ago
Comparing Three Computational Models of Affect
In aiming for behavioral fidelity, artificial intelligence cannot and no longer ignores the formalization of human affect. Affect modeling plays a vital role in faithfully simulati...
Tibor Bosse, Jonathan Gratch, Johan F. Hoorn, Matt...
89
Voted
IJCNN
2000
IEEE
15 years 5 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
81
Voted
PG
1998
IEEE
15 years 4 months ago
Interactive Mesh Dragging with Adaptive Remeshing Technique
We propose a 3D mesh-dragging method useful for intuitive, efficient geometric modeling of free-form polygonal models. With our method, the user can drag a part of a triangular me...
Hiromasa Suzuki, Yusuke Sakurai, Takashi Kanai, Fu...