leadership from social justice organizations that work collaboratively with broad-based grassroots constituencies? And, what can we learn about cooperative-inquiry as a valuable practice for this kind of leadership? This chapter extracts lessons about social justice leadership and about the use of cooperative-inquiry as a vehicle for conducting participatory social research from six cooperative...

In this paper we describe our efforts for TREC Contextual Suggestion task. Our goal of this year is to evaluate the effectiveness of (1) an opinion-based method to model user profiles and rank candidate suggestions; and (2) a template-based summarization method that leverages the information from multiple resources to generate the description of a candidate suggestion. Existing approaches often...

The TREC 2016 Contextual Suggestion task aims at providing recommendations on points of attraction for different kind of users and a varying context. Our group DPLAB IITBHU tries to recommend relevant point-of-interests to a user based on the information provided on the candidate attractions and her past preferences. We employ open-web information in a novel way to capture the best possible set...

Great product ideas come from a marriage of the detailed understanding of a customer need with the in-depth understanding of technology. The best product designs happen when the product’s designers are involved in collecting and interpreting customer data and appreciate what real people need. Contextual Design gives designers the tools to do just that. Contextual Design starts with the recognit...

Much published work on contextual image classification is based on an assumption of class-conditional independence (CCI) of the measurement data equivalent to assuming that an ideal classifier will recover the underlying true scene, with errors evenly and randomly distributed as white noise. This paper proposes a simple alternative model which, it is argued, is more realistic in many applicatio...

My colleague Richard F. West and I began studies of context effects on the word recognition of children when we were both graduate students at the University of Michigan in the mid-i9705.At the time we were heavily influenced by the popular top-tiown models of the reading process.’ We fully expected to make an experimental mark by providing more rigorous confirmationsof the individual-differenc...

The paper investigates the logic underlying statements of the form “X counts as Y in context C” which are commonly considered to represent the paradigmatic syntax of constitutive rules, i.e., the nonregulative component of normative systems. The analytical thesis backing the whole work consists in interpreting such statements as contextual classifications. This reading of counts-as is thoroughl...

In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) relaxation scheme into a MAP framework to track non-rigid objects such as human hands or faces. By combining them together, our algorithm is much more accurate and robust. The global shape model enables us to represent the dynamic and kinematic constraints. I t also helps us to get a better initial ...

We introduce a novel algorithmic approach to content recommendation based on adaptive clustering of exploration-exploitation (“bandit”) strategies. We provide a sharp regret analysis of this algorithm in a standard stochastic noise setting, demonstrate its scalability properties, and prove its effectiveness on a number of artificial and real-world datasets. Our experiments show a significant in...

Automatic classification of relief attributes into meaningful morphological units has a great potential within the field of geomorphology. When applying common classification algorithms such an iterative cluster analysis to relief data, the result is often a set of classes with a marked lack of coherence in geographical space. The scattering of classes occurs because there is an authentic overl...