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3D ActionSLAM: wearable person tracking in multi-floor environments

Hardegger, Michael ; Roggen, Daniel ; Tröster, Gerhard

In: Personal and Ubiquitous Computing, 2015, vol. 19, no. 1, p. 123-141

Self-avoiding walk on $\mathbb{Z}^{2}$ with Yang–Baxter weights : Universality of critical fugacity and 2-point function

Glazman, Alexander ; Manolescu, Ioan

In: Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 2020, vol. 56, no. 4, p. 2281–2300

We consider a self-avoiding walk model (SAW) on the faces of the square lattice Z2. This walk can traverse the same face twice, but crosses any edge at most once. The weight of a walk is a product of local weights: each square visited by the walk yields a weight that depends on the way the walk passes through it. The local weights are parametrised by angles θ∈[π3,2π3] and satisfy the...

Bounding the number of self-avoiding walks: Hammersley–Welsh with polygon insertion

Duminil-Copin, Hugo ; Ganguly, Shirshendu ; Hammond, Alan ; Manolescu, Ioan

In: Annals of Probability, 2020, vol. 48, no. 4, p. 1644–1692

Does being assigned to a low school track negatively affect psychological adjustment?

Müller, Christoph Michael ; Hofmann, Verena

In: School Effectiveness and School Improvement, 2016, vol. 27, p. 95-115

Previous research suggests that the 1st year in secondary school for some students goes hand in hand with an increase in adjustment difficulties. One factor that might influence this process on an individual, compositional, and institutional level is the academic track a student attends. It was hypothesized that being assigned to a lowqualifying track predicts a stronger increase in...

Expected depth of random walks on groups

Bou-Rabee, Khalid ; Manolescu, Ioan ; Myropolska, Aglaia

In: Pacific Journal of Mathematics, 2019, vol. 298, no. 2, p. 267–284

Are meta-paths necessary?: revisiting heterogeneous graph embeddings

Hussein, Rana ; Yang, Dingqi ; Cudré-Mauroux, Philippe

In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p. 437–446

The graph embedding paradigm projects nodes of a graph into a vector space, which can facilitate various downstream graph analysis tasks such as node classification and clustering. To efficiently learn node embeddings from a graph, graph embedding techniques usually preserve the proximity between node pairs sampled from the graph using random walks. In the context of a heterogeneous graph,...

Traces de dinosaures jurassiques : Courtedoux-Béchat Bovais

Paratte, Géraldine ; Lapaire, Marielle ; Lovis, Christel ; Marty, Daniel

Porrentruy : Office de la culture, Paléontologie A16, 2017

(Catalogues du patrimoine paléontologique jurassien - A16)

ISBN: 9782884360524

Traces de dinosaures jurassiques : Courtedoux-Bois de Sylleux

Paratte, Géraldine ; Lapaire, Marielle ; Lovis, Christel ; Marty, Daniel

Porrentruy : Office de la culture, Paléontologie A16, 2018

(Catalogues du patrimoine paléontologique jurassien - A16)

ISBN: 9782884360470

Index Theory of One Dimensional Quantum Walks and Cellular Automata

Gross, D. ; Nesme, V. ; Vogts, H. ; Werner, R.

In: Communications in Mathematical Physics, 2012, vol. 310, no. 2, p. 419-454

Direction specific error patterns during continuous tracking of the subjective visual vertical

Keusch, S. ; Hess, B. ; Jaggi-Schwarz, K.

In: Experimental Brain Research, 2004, vol. 155, no. 3, p. 283-290