… single moving object. Although sophisticated methodologies for multiple-object detection and
… GRN-BCM model to deal with multiobject behavior recognition remains to be investigated. …

… In the following sections we present an application of the BCM model to a set of specific
3D object recognition problems. The experiments chosen fulfill two important criteria: (1) they …

… between the unsupervised BCM learning procedure and … and the evolution of the network
under various visual rearing … such as phoneme and 3D object recognition. We thus have …

… In vision, it was used to model 3D object recognition and produce a model that compared …
This form has been used primarily when running simulations of networks, where the run-…

… For almost three decades, BCM theory has been shown to … This paper proposes an
interpretation of the BCM theory of meta-… This paper focuses on the BCM rule learning aspects of …

… BCM neurons appear to respond differently to the two types of signals. Additionally, by instituting
the lateral inhibition network, … a six neuron lateral inhibition network. The first row shows …

… object. It extends the faster R-CNN algorithm by adding a parallel branch for predicting the
object mask to an existing branch for object recognition. A … detection based on BCMNet. The …

… This analysis is supported by simulations of a BCM network in averaged (… Networks 5 3–17
Intrator N, Gold JI, Bülthoff HH and Edelman S 1991 Three-dimensional object recognition …

… BCM network theory for a general multilayer network. The ith cell in layer n of a multilayer
BCM network … To do this, we chose the best BCM network under the K = 3 criterion, and varied …

… in face recognition, and more generally, in object recognition, … Hyper Basis Functions (HBF)
network. This is a convenient … already to several problems in object recognition as well as an …