Basis Technology participated in the TAC Entity-Link task of the Knowledge Base Population track at TAC 2012. We developed a supervised learning approach which produces a single model that is capable of operating across all languages and entity types. Our features are based on the outputs of other models, many of which are unsupervised.
This paper presents a novel multi-frame graph matching algorithm for reliable partial alignments among point clouds. We use this algorithm to stitch frames for 3D environment reconstruction. The idea is to utilize both descriptor similarity and mutual spatial coherency of features existed in multiple frames to match these frames. The proposed multi-frame… (More)
Deep Learning is a very powerful machine learning model. Deep Learning trains a large number of parameters for multiple layers and is very slow when data is in large scale and the architecture size is large. Inspired from the shrinking technique used in accelerating computation of Support Vector Machines (SVM) algorithm and screening technique used in… (More)