Look, no hands!

Look Ma , No Hands ! Aspects of Autonomous Vehicle Control

"Look Ma, No Hands!" A Parameter-Free Topic Model

It has always been a burden to the users of statistical topic models to predetermine the right number of topics, which is a key parameter of most topic models. Conventionally, automatic selection of this parameter is done through either statistical model selection (e.g., cross-validation, AIC, or BIC) or Bayesian nonparametric models (e.g., hierarchical Dirichlet process). These methods either ...

“Look, Ma – No Hands!” Hands-Free Cursor Control with Real-Time 3D Face Tracking

This paper presents a real-time, non-invasive, vision system which performs hands-free cursor control by having users point their nose where they wish to place the cursor on a monitor screen. The vision system robustly tracks 3D face position and orientation in real time using a framework called Incremental Focus of Attention (IFA). IFA integrates tracking based on multiple cues (including colo...

Look Ma, No Hands: Supporting the Semantic Discovery of Services without Ontologies

The work reported in this article aims to the discovery of WSDL specifications that are assessed to match to specific data requirements: Going beyond the syntactic level, we aim at exploiting the human-intended semantics of WSDL specifications At the core of the proposed method lies the Latent Semantic Indexing (LSI) method, which automatically maps data requirements specified in a query to par...

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification

Is accurate classification possible in the absence of hand-labeled data? This paper introduces the Monotonic Feature (MF) abstraction—where the probability of class membership increases monotonically with the MF’s value. The paper proves that when an MF is given, PAC learning is possible with no hand-labeled data under certain assumptions. We argue that MFs arise naturally in a broad range of t...