Ms. Oberfelder is drawn to acrobatic, yoga-inspired movement and partnering that relies heavily on weight sharing and humor.
Most applications of CNNs on texture analysis share the idea of using the weight sharing and local connectivity while discarding the global shape analysis.
Experiments show that our model benefits from incorporating the visual information into the word embeddings, and a weight sharing strategy is crucial for learning such multimodal embeddings.
The piece includes lots of intense partnering and weight sharing, so my dancers quickly develop trust and a sense of unity.
G-CNNs use G-convolutions, a new type of layer that enjoys a substantially higher degree of weight sharing than regular convolution layers.
During the 65-minute work the dancers build on a rich movement dialogue that integrates timing, weight sharing, dynamics, precision, concentration and, without effort, sensuality.
Though in its work the company explores weight sharing, which is also an intrinsic element of tango, that usually involves "knowing where your center is," Ms. Sie said.
Shape Boltzmann Machine (SBM) is a strong shape model, having ability to capture the details of object shape by introducing the Local Receptive Fields LRFF) and weight sharing into a deep learning architecture.
By introducing weight sharing and LRF hierarchically in a deep architecture, MSSBM is capable of learning the true binary distributions of training shapes and generating more realistic shapes than the existing models, such as Deep Belief Network (DBN), DBM, SBM.
We study the ability of our networks to generalize across diverse object categories from limited training data, and explore in detail strategies for weight sharing, pre-processing, data augmentation and dimensionality reduction.
