Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Discovery and recognition of motion primitives in human activities
Discovering Motion Primitives for Unsupervised Grouping and One-Shot Learning of Human Actions, Gestures, and Expressions
vision - based human motion analysis : an overview .
Primitive activity recognition from short sequences of sensory data
Semantic Representation and Recognition of Continued and Recursive Human Activities
Dimensionality reduction for probabilistic movement primitives
Micro Actions and Deep Static Features for Activity Recognition
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
Minimum jerk for human catching movements in 3D
Machine Recognition of Human Activities: A Survey
A hierarchical representation for human action recognition in realistic scenes
Learning movement primitive libraries through probabilistic segmentation
Deep feature learning and selection for activity recognition
Dynamic models of human motion
Automated extraction and parameterization of motions in large data sets
Self-organizing neural integration of pose-motion features for human action recognition
The Recognition of Human Movement Using Temporal Templates
Better Exploiting Motion for Better Action Recognition
The Visual Analysis of Human Movement: A Survey
A Hybrid Discriminative/Generative Approach for Modeling Human Activities
An evaluation of white- and gray-box testing tools for C#, C++, Eiffel, and Java
Accelerated Gradient Method for Multi-task Sparse Learning Problem
Poselets: Body part detectors trained using 3D human pose annotations
the datacenter as a computer : an introduction to the design of warehouse - scale machines .
A modular software architecture for UAVs