Publication

DynaBoost: Combining Boosted Hypotheses in a Dynamic Way

Related publications (35)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

DynaBoost: Combining Boosted Hypotheses in a Dynamic Way

Graph Chatbot

Chat with Graph Search

Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting

Importance Sampling Tree for Large-scale Empirical Expectation

Adaptive Sampling for Large Scale Boosting

Fast Object Detection with Entropy-Driven Evaluation

Fast Object Detection with Entropy-Driven Evaluation

Object Classification and Detection in High Dimensional Feature Space

Multivariate Boosting with Look-Up Tables for Face Processing

Face detection using boosted Jaccard distance-based regression

Phoneme Recognition using Boosted Binary Features

Continuous Speech Recognition using Boosted Binary Features

Object Classification and Detection in High Dimensional Feature Space

Phoneme Recognition using Boosted Binary Features

Fast Object Detection with Entropy-Driven Evaluation

Continuous Speech Recognition using Boosted Binary Features

Face detection using boosted Jaccard distance-based regression

Importance Sampling Tree for Large-scale Empirical Expectation

Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting

Adaptive Sampling for Large Scale Boosting

Fast Object Detection with Entropy-Driven Evaluation

Multivariate Boosting with Look-Up Tables for Face Processing